review article | Q7318358 |
scholarly article | Q13442814 |
P356 | DOI | 10.1038/NRD1549 |
P2888 | exact match | https://scigraph.springernature.com/pub.10.1038/nrd1549 |
P698 | PubMed publication ID | 15520816 |
P5875 | ResearchGate publication ID | 8199343 |
P50 | author | Jürgen Bajorath | Q18609784 |
P2093 | author name string | Douglas B Kitchen | |
Hélène Decornez | |||
John R Furr | |||
P2860 | cites work | A Common Mechanism Underlying Promiscuous Inhibitors from Virtual and High-Throughput Screening | Q22251350 |
Analytical molecular surface calculation | Q22757983 | ||
DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases | Q27231136 | ||
Design and quantitative structure-activity relationship of 3-amidinobenzyl-1H-indole-2-carboxamides as potent, nonchiral, and selective inhibitors of blood coagulation factor Xa | Q27639166 | ||
Molecular dynamics simulation of the docking of substrates to proteins. | Q52375019 | ||
Ligand docking to proteins with discrete side-chain flexibility. | Q52383197 | ||
GenStar: a method for de novo drug design. | Q52401172 | ||
Computational combinatorial ligand design: application to human alpha-thrombin. | Q52418847 | ||
Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes. | Q53678858 | ||
Development of a combined protein and pharmacophore model for cytochrome P450 2C9. | Q54574014 | ||
Semianalytical treatment of solvation for molecular mechanics and dynamics | Q56866446 | ||
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function | Q56885198 | ||
Principles of docking: An overview of search algorithms and a guide to scoring functions | Q57808017 | ||
Protein ligand docking based on empirical method for binding affinity estimation | Q62761925 | ||
New method for rapid characterization of molecular shapes: applications in drug design | Q70579087 | ||
Molecular similarity based on DOCK-generated fingerprints | Q71422318 | ||
Hydration in drug design. 1. Multiple hydrogen-bonding features of water molecules in mediating protein-ligand interactions | Q71491557 | ||
A new method for predicting binding affinity in computer-aided drug design | Q72408636 | ||
A novel approach to predicting P450 mediated drug metabolism. CYP2D6 catalyzed N-dealkylation reactions and qualitative metabolite predictions using a combined protein and pharmacophore model for CYP2D6 | Q73066262 | ||
Improved scoring of ligand-protein interactions using OWFEG free energy grids | Q73423412 | ||
SYNOPSIS: SYNthesize and OPtimize System in Silico | Q73513093 | ||
New approach to molecular docking and its application to virtual screening of chemical databases | Q73667207 | ||
Novel approach to predicting P450-mediated drug metabolism: development of a combined protein and pharmacophore model for CYP2D6 | Q77404136 | ||
Docking into knowledge-based potential fields: a comparative evaluation of DrugScore | Q78031711 | ||
Predicting binding affinities of protein ligands from three-dimensional models: application to peptide binding to class I major histocompatibility proteins. | Q52135209 | ||
A general and fast scoring function for protein-ligand interactions: a simplified potential approach. | Q52222006 | ||
Flexible docking using Tabu search and an empirical estimate of binding affinity. | Q52230740 | ||
A virtual screening approach applied to the search for trypanothione reductase inhibitors. | Q52259530 | ||
A comparison of heuristic search algorithms for molecular docking. | Q52265017 | ||
A fast flexible docking method using an incremental construction algorithm. | Q52298930 | ||
Hammerhead: fast, fully automated docking of flexible ligands to protein binding sites. | Q52304046 | ||
Flexible ligand docking using a genetic algorithm. | Q52346365 | ||
A model binding site for testing scoring functions in molecular docking | Q27639604 | ||
Virtual screening for submicromolar leads of tRNA-guanine transglycosylase based on a new unexpected binding mode detected by crystal structure analysis | Q27640724 | ||
Crystal structure of human cytochrome P450 2C9 with bound warfarin | Q27641685 | ||
Discovery of small-molecule inhibitors of Bcl-2 through structure-based computer screening | Q28208080 | ||
Gaussian docking functions | Q28208578 | ||
Approaches to the description and prediction of the binding affinity of small-molecule ligands to macromolecular receptors | Q28219491 | ||
Development and validation of a genetic algorithm for flexible docking | Q28236574 | ||
Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy | Q28251042 | ||
Prediction of binding constants of protein ligands: a fast method for the prioritization of hits obtained from de novo design or 3D database search programs | Q28285760 | ||
Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings | Q28842973 | ||
Virtual screening—an overview | Q29541293 | ||
Solvent-accessible surfaces of proteins and nucleic acids | Q29614464 | ||
Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models | Q29616389 | ||
Improved protein-ligand docking using GOLD | Q29616787 | ||
High-throughput crystallography for lead discovery in drug design. | Q30331190 | ||
A new test set for validating predictions of protein-ligand interaction. | Q30332170 | ||
A computational procedure for determining energetically favorable binding sites on biologically important macromolecules | Q30406755 | ||
The Protein Data Bank and the challenge of structural genomics | Q30620508 | ||
The Protein Data Bank and structural genomics | Q30760747 | ||
Development of a virtual screening method for identification of "frequent hitters" in compound libraries | Q30783737 | ||
Evaluation of the FLEXX incremental construction algorithm for protein-ligand docking | Q30822076 | ||
Evaluation of docking performance: comparative data on docking algorithms | Q30889483 | ||
Design, docking, and evaluation of multiple libraries against multiple targets | Q30978202 | ||
Virtual screening of combinatorial libraries across a gene family: in search of inhibitors of Giardia lamblia guanine phosphoribosyltransferase | Q31001616 | ||
Evaluation of docking functions for protein-ligand docking | Q31028078 | ||
Virtual screening with flexible docking and COMBINE-based models. Application to a series of factor Xa inhibitors | Q31040376 | ||
Molecular dynamics and free energy analyses of cathepsin D-inhibitor interactions: insight into structure-based ligand design | Q31043825 | ||
Molecular docking and high-throughput screening for novel inhibitors of protein tyrosine phosphatase-1B. | Q31057078 | ||
Molecular recognition and docking algorithms | Q31130825 | ||
Binding site characteristics in structure-based virtual screening: evaluation of current docking tools | Q31135121 | ||
Estimation of binding affinities for HEPT and nevirapine analogues with HIV-1 reverse transcriptase via Monte Carlo simulations | Q31916898 | ||
Kinases, Homology Models, and High Throughput Docking | Q33193967 | ||
Structural interaction fingerprint (SIFt): a novel method for analyzing three-dimensional protein-ligand binding interactions | Q33196625 | ||
Concise review of the cytochrome P450s and their roles in toxicology | Q33649682 | ||
The dead-end elimination theorem and its use in protein side-chain positioning | Q34177888 | ||
Virtual screening: an effective tool for lead structure discovery? | Q34263139 | ||
A geometric approach to macromolecule-ligand interactions | Q34280176 | ||
Flexibases: a way to enhance the use of molecular docking methods | Q34319987 | ||
The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure | Q34326042 | ||
Further development and validation of empirical scoring functions for structure-based binding affinity prediction | Q34526566 | ||
From knowledge-based potentials to combinatorial lead design in silico | Q34645889 | ||
Free energy simulations come of age: protein-ligand recognition | Q34691182 | ||
Integration of virtual and high-throughput screening | Q34988235 | ||
ADMET in silico modelling: towards prediction paradise? | Q35075770 | ||
Reaching the global minimum in docking simulations: a Monte Carlo energy minimization approach using Bezier splines | Q36165757 | ||
GroupBuild: a fragment-based method for de novo drug design | Q36784871 | ||
Structure-based design and combinatorial chemistry yield low nanomolar inhibitors of cathepsin D. | Q36867191 | ||
Analysis and optimization of structure-based virtual screening protocols. (3). New methods and old problems in scoring function design. | Q40582368 | ||
Shape complementarity at protein-protein interfaces | Q41026982 | ||
Information decay in molecular docking screens against holo, apo, and modeled conformations of enzymes | Q42602259 | ||
Homology modeling of rat and human cytochrome P450 2D (CYP2D) isoforms and computational rationalization of experimental ligand-binding specificities. | Q42691686 | ||
Docking molecules by families to increase the diversity of hits in database screens: computational strategy and experimental evaluation | Q43512278 | ||
Shape signatures: a new approach to computer-aided ligand- and receptor-based drug design | Q43635409 | ||
Prediction of activity for nonnucleoside inhibitors with HIV-1 reverse transcriptase based on Monte Carlo simulations | Q44042860 | ||
Docking flexible ligands to macromolecular receptors by molecular shape | Q44113013 | ||
LUDI: rule-based automatic design of new substituents for enzyme inhibitor leads | Q44114180 | ||
Thrombin inhibition by novel benzamidine derivatives: a free-energy perturbation study. | Q44199492 | ||
Identification of potent and selective small-molecule inhibitors of caspase-3 through the use of extended tethering and structure-based drug design | Q44199495 | ||
A simple method for visualizing the differences between related receptor sites | Q44202611 | ||
In silico and NMR identification of inhibitors of the IGF-I and IGF-binding protein-5 interaction | Q44245724 | ||
Construction and Assessment of Models of CYP2E1: Predictions of Metabolism from Docking, Molecular Dynamics, and Density Functional Theoretical Calculations | Q44406089 | ||
Molecular Modeling Calculations of HIV-1 Reverse Transcriptase Nonnucleoside Inhibitors: Correlation of Binding Energy with Biological Activity for Novel 2-Aryl-Substituted Benzimidazole Analogues | Q44424800 | ||
Functionality maps of binding sites: a multiple copy simultaneous search method | Q44440703 | ||
Calculation of the Binding Affinity of β-Secretase Inhibitors Using the Linear Interaction Energy Method | Q44441527 | ||
Comparative evaluation of 11 scoring functions for molecular docking | Q44457437 | ||
Validation of a model for the complex of HIV-1 reverse transcriptase with nonnucleoside inhibitor TMC125. | Q44465176 | ||
Analysis and optimization of structure-based virtual screening protocols. 2. Examination of docked ligand orientation sampling methodology: mapping a pharmacophore for success. | Q44472773 | ||
Discovery of a potent and selective protein kinase CK2 inhibitor by high-throughput docking | Q44474542 | ||
Docking and database screening reveal new classes of Plasmodium falciparum dihydrofolate reductase inhibitors | Q44490842 | ||
Identification of novel inhibitors of BCR-ABL tyrosine kinase via virtual screening | Q44614122 | ||
Identification of a novel class of inhibitor of human and Escherichia coli thymidine phosphorylase by in silico screening. | Q44614130 | ||
A multiple-start Monte Carlo docking method. | Q44677796 | ||
Investigation of neuraminidase-substrate recognition using molecular dynamics and free energy calculations | Q44687578 | ||
Prediction of ligand binding affinity and orientation of xenoestrogens to the estrogen receptor by molecular dynamics simulations and the linear interaction energy method. | Q44754715 | ||
Using shape complementarity as an initial screen in designing ligands for a receptor binding site of known three-dimensional structure. | Q46036230 | ||
Automated docking in crystallography: analysis of the substrates of aconitase | Q46055675 | ||
An all atom force field for simulations of proteins and nucleic acids | Q46625508 | ||
New molecular shape descriptors: application in database screening | Q46652883 | ||
Analyses of activity for factor Xa inhibitors based on Monte Carlo simulations | Q47329657 | ||
Lessons in molecular recognition: the effects of ligand and protein flexibility on molecular docking accuracy. | Q52005770 | ||
Knowledge-based scoring function to predict protein-ligand interactions. | Q52083236 | ||
Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins. | Q52132563 | ||
P433 | issue | 11 | |
P921 | main subject | drug discovery | Q1418791 |
virtual screening | Q4112105 | ||
drug screening | Q10505555 | ||
P304 | page(s) | 935-949 | |
P577 | publication date | 2004-11-01 | |
P1433 | published in | Nature Reviews Drug Discovery | Q45998 |
P1476 | title | Docking and scoring in virtual screening for drug discovery: methods and applications | |
P478 | volume | 3 |
Q98293054 | 2D-QSAR Modeling and Molecular Docking Studies on 1H-Pyrazole-1-carbothioamide Derivatives as EGFR Kinase Inhibitors |
Q42378453 | 2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications |
Q90662679 | 6'-Sialylgalactose inhibits vascular endothelial growth factor receptor 2-mediated angiogenesis |
Q92955278 | A Comparative Linear Interaction Energy and MM/PBSA Study on SIRT1-Ligand Binding Free Energy Calculation |
Q39425242 | A D3R prospective evaluation of machine learning for protein-ligand scoring. |
Q45777298 | A Fragment-Based Scoring Function to Re-rank ATP Docking Results |
Q60218432 | A Hybrid Structure/Pharmacophore-Based Virtual Screening Approach to Design Potential Leads: A Computer-Aided Design of South African HIV-1 Subtype C Protease Inhibitors |
Q48274337 | A Molecular Docking and Dynamics Approach to Screen Potent Inhibitors Against Fosfomycin Resistant Enzyme in Clinical Klebsiella pneumoniae |
Q92589923 | A Structure-Based Drug Discovery Paradigm |
Q44105963 | A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment. |
Q33469847 | A chemogenomics view on protein-ligand spaces |
Q42174979 | A comparative molecular docking study of curcumin and methotrexate to dihydrofolate reductase |
Q39189336 | A concise synthesis of pyrazole analogues of combretastatin A1 as potent anti-tubulin agents |
Q42418169 | A critical assessment of the performance of protein-ligand scoring functions based on NMR chemical shift perturbations. |
Q57457333 | A facile consensus ranking approach enhances virtual screening robustness and identifies a cell-active DYRK1α inhibitor |
Q51070839 | A fragment-based docking simulation for investigating peptide-protein bindings. |
Q41381019 | A generalized knowledge-based discriminatory function for biomolecular interactions |
Q27902353 | A graph-based approach to construct target-focused libraries for virtual screening |
Q28276262 | A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking |
Q34560190 | A molecular-modeling toolbox aimed at bridging the gap between medicinal chemistry and computational sciences. |
Q55035962 | A new insight into identification of in silico analysis of natural compounds targeting GPR120. |
Q43181588 | A new method for ligand docking to flexible receptors by dual alanine scanning and refinement (SCARE). |
Q41788143 | A nonredundant structure dataset for benchmarking protein-RNA computational docking |
Q52352133 | A novel interaction fingerprint derived from per atom score contributions: exhaustive evaluation of interaction fingerprint performance in docking based virtual screening. |
Q51543578 | A novel, customizable and optimizable parameter method using spherical harmonics for molecular shape similarity comparisons. |
Q34041244 | A python-based docking program utilizing a receptor bound ligand shape: PythDock. |
Q39395597 | A quantitative structure-activity relationship (QSAR) study of some diaryl urea derivatives of B-RAF inhibitors |
Q47329680 | A significant mechanism of molecular recognition between bioflavonoids and P-glycoprotein leading to herb-drug interactions |
Q43161097 | A structure-based virtual screening approach toward the discovery of histone deacetylase inhibitors: identification of promising zinc-chelating groups |
Q38796994 | A study of the allosteric inhibition of HCV RNA-dependent RNA polymerase and implementing virtual screening for the selection of promising dual-site inhibitors with low resistance potential |
Q38827863 | A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer. |
Q64973287 | A unified picture of the covalent bond within quantum-accurate force fields: From organic molecules to metallic complexes' reactivity. |
Q47134440 | ATP-triggered biomimetic deformations of bioinspired receptor-containing polymer assemblies |
Q57266113 | Accessible haptic technology for drug design applications |
Q30353037 | Accidental interaction between PDZ domains and diclofenac revealed by NMR-assisted virtual screening. |
Q36520871 | Accounting for receptor flexibility and enhanced sampling methods in computer-aided drug design |
Q28649519 | Achievements and challenges in structural bioinformatics and computational biophysics |
Q61998568 | Activity prediction of substrates in NADH-dependent carbonyl reductase by docking requires catalytic constraints and charge parameterization of catalytic zinc environment |
Q28389419 | Adaptive cellular stress pathways as therapeutic targets of dietary phytochemicals: focus on the nervous system |
Q34377911 | Advances and challenges in protein-ligand docking |
Q38028554 | Advances in 2D fingerprint similarity searching |
Q64107715 | Algorithm-supported, mass and sequence diversity-oriented random peptide library design |
Q64969057 | An Eco-Friendly Technique: Solvent-Free Microwave Synthesis and Docking Studies of Some New Pyridine Nucleosides and Their Pharmacological Significance. |
Q36087541 | An Improved Weighted-Residue Profile Based Method of Using Protein-Ligand Interaction Information in Increasing Hits Selection from Virtual Screening: A Study on Virtual Screening of Human GPCR A2A Receptor Antagonists |
Q40469984 | An Integrative Drug Repurposing Pipeline: Switching Viral Drugs to Breast Cancer. |
Q33408373 | An effective docking strategy for virtual screening based on multi-objective optimization algorithm |
Q58796462 | An evolutionary algorithm for the discovery of porous organic cages |
Q35163145 | An exhaustive yet simple virtual screening campaign against Sortase A from multiple drug resistant Staphylococcus aureus |
Q36838120 | An improved relaxed complex scheme for receptor flexibility in computer-aided drug design |
Q30400539 | An integrated approach with new strategies for QSAR models and lead optimization |
Q33594934 | An interaction-motif-based scoring function for protein-ligand docking |
Q46028088 | Anthranilate derivatives as TACE inhibitors: docking based CoMFA and CoMSIA analyses. |
Q38789461 | Anti-Helicobacter pylori Activity of Isocoumarin Paepalantine: Morphological and Molecular Docking Analysis. |
Q39252456 | Antifungal activity of the ethanolic extracts of Punica granatum L. and evaluation of the morphological and structural modifications of its compounds upon the cells of Candida spp |
Q58793231 | Antihyperlipidemic studies of newly synthesized phenolic derivatives: in silico and in vivo approaches |
Q37383388 | Antimicrobial activity of Tachyplesin 1 against Burkholderia pseudomallei: an in vitro and in silico approach. |
Q38827989 | Antiretrovirals inhibit arginase in human microglia |
Q34019272 | Application of NMR and molecular docking in structure-based drug discovery |
Q39597289 | Application of binding free energy calculations to prediction of binding modes and affinities of MDM2 and MDMX inhibitors |
Q50111842 | Application of computational methods for anticancer drug discovery, design, and optimization. |
Q30238530 | Applications of computer-aided approaches in the development of hepatitis C antiviral agents |
Q27902289 | Applying DEKOIS 2.0 in structure-based virtual screening to probe the impact of preparation procedures and score normalization |
Q43490153 | Applying conformational selection theory to improve crossdocking efficiency in 3-phosphoinositide dependent protein kinase-1. |
Q52844449 | Apta-nanosensor preparation and in vitro assay for rapid Diazinon detection using a computational molecular approach. |
Q52571462 | Aqueous Extract of Black Maca Prevents Metabolism Disorder via Regulating the Glycolysis/Gluconeogenesis-TCA Cycle and PPARα Signaling Activation in Golden Hamsters Fed a High-Fat, High-Fructose Diet. |
Q89850297 | Arabinosyltransferase C enzyme of Mycobacterium tuberculosis, a potential drug target: An insight from molecular docking study |
Q83199715 | Are predefined decoy sets of ligand poses able to quantify scoring function accuracy? |
Q41905373 | Artificial Neural Networks Analysis Used to Evaluate the Molecular Interactions between Selected Drugs and Human Cyclooxygenase2 Receptor |
Q34535185 | Asparagine synthetase chemotherapy |
Q49194256 | Assemble-And-Match: A Novel Hybrid Tool for Enhancing Education and Research in Rational Structure Based Drug Design. |
Q52666970 | Assessing protein-ligand interaction scoring functions with the CASF-2013 benchmark. |
Q28481518 | AutoClickChem: click chemistry in silico |
Q51304233 | AutoDock-GIST: Incorporating Thermodynamics of Active-Site Water into Scoring Function for Accurate Protein-Ligand Docking. |
Q29547658 | AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility |
Q28551247 | AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility |
Q48247332 | Automatic clustering of docking poses in virtual screening process using self-organizing map. |
Q41043727 | BP-Dock: a flexible docking scheme for exploring protein-ligand interactions based on unbound structures |
Q29619637 | Benchmarking sets for molecular docking |
Q33587154 | Benserazide, a dopadecarboxylase inhibitor, suppresses tumor growth by targeting hexokinase 2. |
Q27674450 | Benzimidazole inhibitors of the protein kinase CHK2: Clarification of the binding mode by flexible side chain docking and protein–ligand crystallography |
Q51555332 | BetaDock: shape-priority docking method based on beta-complex. |
Q30500311 | Binary image representation of a ligand binding site: its application to efficient sampling of a conformational ensemble |
Q64966935 | Binding Affinity via Docking: Fact and Fiction. |
Q42702975 | Binding affinities controlled by shifting conformational equilibria: opportunities and limitations |
Q28554327 | Binding and Inhibition of Spermidine Synthase from Plasmodium falciparum and Implications for In Vitro Inhibitor Testing |
Q41379718 | Binding interactions of porphyrin derivatives with Ca(2+) ATPase of sarcoplasmic reticulum (SERCA1a). |
Q34516992 | Binding modes of peptidomimetics designed to inhibit STAT3. |
Q33600965 | BioDrugScreen: a computational drug design resource for ranking molecules docked to the human proteome |
Q33738240 | Bioactive conformational generation of small molecules: a comparative analysis between force-field and multiple empirical criteria based methods |
Q38985727 | Biosensors and their applications in detection of organophosphorus pesticides in the environment |
Q35312072 | Biosynthesis of Taxadiene in Saccharomyces cerevisiae : selection of geranylgeranyl diphosphate synthase directed by a computer-aided docking strategy |
Q34257034 | Blind prediction of host-guest binding affinities: a new SAMPL3 challenge. |
Q50670958 | Boosting Pose Ranking Performance via Rescoring with MM-GBSA. |
Q58719254 | Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview |
Q30362300 | Bringing Clarity to the Prediction of Protein-Ligand Binding Free Energies via "Blurring" |
Q54977938 | C-glycosyl flavone from Urginea indica inhibits proliferation & angiogenesis & induces apoptosis via cyclin-dependent kinase 6 in human breast, hepatic & colon cancer cell lines. |
Q47694932 | CDOCKER and λ-dynamics for prospective prediction in D₃R Grand Challenge 2. |
Q45961158 | CScore: a simple yet effective scoring function for protein-ligand binding affinity prediction using modified CMAC learning architecture. |
Q27902293 | Calculating an optimal box size for ligand docking and virtual screening against experimental and predicted binding pockets |
Q45710657 | Calculating binding free energies of host-guest systems using the AMOEBA polarizable force field |
Q51914537 | Calculations of protein-ligand binding entropy of relative and overall molecular motions. |
Q35181207 | Can structural features of kinase receptors provide clues on selectivity and inhibition? A molecular modeling study |
Q37108161 | Carbonic anhydrase as a model for biophysical and physical-organic studies of proteins and protein-ligand binding |
Q48157762 | Catalytic Metallodrugs: Substrate-Selective Metal Catalysts as Therapeutics. |
Q46774673 | Challenges facing the biologist doing chemical genetics |
Q35206344 | Challenges, applications, and recent advances of protein-ligand docking in structure-based drug design. |
Q47769337 | Characterization of active compounds from Gracilaria lemaneiformis inhibiting the protein tyrosine phosphatase 1B activity. |
Q37534728 | Characterizing protein crystal contacts and their role in crystallization: rubredoxin as a case study |
Q26779035 | Charting a Path to Success in Virtual Screening |
Q59798139 | Chemical Composition and Antifungal and , Antioxidant, and Anticholinesterase Activities of Extracts and Constituents of (DC.) Baill |
Q50864642 | Chemical composition and α-amylase inhibitory activity of the essential oil from Sabina chinensis cv. Kaizuca leaves. |
Q57807676 | Chemical composition, antioxidant activity and antibacterial mechanism of action from Marsilea minuta leaf hexane: methanol extract |
Q37849214 | Chemical-protein interactome and its application in off-target identification |
Q40616404 | Cheminformatics meets molecular mechanics: a combined application of knowledge-based pose scoring and physical force field-based hit scoring functions improves the accuracy of structure-based virtual screening |
Q37625010 | Chemoinformatics-applications in food chemistry |
Q27347756 | Chenopodium ambrosioides L. Reduces Synovial Inflammation and Pain in Experimental Osteoarthritis |
Q36554718 | Choosing the Optimal Rigid Receptor for Docking and Scoring in the CSAR 2013/2014 Experiment |
Q61805055 | Chromatography Based Metabolomics and Screening of Leaf Extract for Its Antidiabetic Potential |
Q59294029 | Classifying Calpain Inhibitors for the Treatment of Cataracts: A Self Organising Map (SOM) ANN/KM Approach in Drug Discovery |
Q37298345 | Combination of pharmacophore hypothesis, genetic function approximation model, and molecular docking to identify novel inhibitors of S6K1 |
Q92369297 | Combined Linear Interaction Energy and Alchemical Solvation Free-Energy Approach for Protein-Binding Affinity Computation |
Q35252046 | Combined docking, molecular dynamics simulations and spectroscopic studies for the rational design of a dipeptide ligand for affinity chromatography separation of human serum albumin. |
Q39162889 | Combined kinetic studies and computational analysis on kojic acid analogous as tyrosinase inhibitors. |
Q56979676 | Combining ligand-based and structure-based drug design in the virtual screening arena |
Q37309553 | Community-wide assessment of GPCR structure modelling and ligand docking: GPCR Dock 2008. |
Q64267844 | Comparative docking analysis of cholesterol analogs to ion channels to discriminate between stereospecific binding vs. stereospecific response |
Q38298563 | Comparative evaluation of several docking tools for docking small molecule ligands to DC-SIGN. |
Q33836276 | Comparison of human solute carriers |
Q114677105 | Comparison of structure- and ligand-based scoring functions for deep generative models: a GPCR case study |
Q34607003 | Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists |
Q60238441 | Compound Ranking Based on Fuzzy Three-Dimensional Similarity Improves the Performance of Docking into Homology Models of G-Protein-Coupled Receptors |
Q47918040 | Comprehensive assessment of flexible-ligand docking algorithms: current effectiveness and challenges |
Q30393891 | Comprehensive structural and functional characterization of the human kinome by protein structure modeling and ligand virtual screening |
Q26738752 | Computational Approaches for the Discovery of Human Proteasome Inhibitors: An Overview |
Q38935370 | Computational Approaches to the Chemical Equilibrium Constant in Protein-ligand Binding |
Q38973232 | Computational Methods Applied to Rational Drug Design. |
Q47348631 | Computational Methods Used in Hit-to-Lead and Lead Optimization Stages of Structure-Based Drug Discovery |
Q47261017 | Computational Studies of Snake Venom Toxins. |
Q38612789 | Computational allosteric ligand binding site identification on Ras proteins. |
Q39518015 | Computational analysis of interactions in structurally available protein-glycosaminoglycan complexes |
Q49539854 | Computational and Pharmacological Evaluation of Ferrocene-Based Acyl Ureas and Homoleptic Cadmium Carboxylate Derivatives for Anti-diabetic Potential. |
Q30594820 | Computational drug repositioning: from data to therapeutics |
Q47761105 | Computational evaluation of factors governing catalytic 2-keto acid decarboxylation. |
Q33593739 | Computational insights for the discovery of non-ATP competitive inhibitors of MAP kinases |
Q38137563 | Computational methods for drug design and discovery: focus on China |
Q26997089 | Computational methods in drug discovery |
Q30398071 | Computational methods in drug discovery. |
Q30597541 | Computational methods to support high-content screening: from compound selection and data analysis to postulating target hypotheses |
Q89769961 | Computational modeling of novel quinazoline derivatives as potent epidermal growth factor receptor inhibitors |
Q37684817 | Computational molecular biology approaches to ligand-target interactions. |
Q33961367 | Computational perspectives into plasmepsins structure-function relationship: implications to inhibitors design |
Q47378136 | Computational screening of fatty acid synthase inhibitors against thioesterase domain |
Q45360162 | Computational study on new natural polycyclic compounds of H1N1 influenza virus neuraminidase |
Q36540581 | Computational systems chemical biology |
Q58860105 | Computer- and Structure-Based Lead Identification for Epigenetic Targets |
Q51311450 | Computer-Aided Drug Design Methods. |
Q38530502 | Computer-aided drug discovery |
Q36477542 | Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach |
Q46213246 | Computer-based design of novel HIV-1 entry inhibitors: neomycin conjugated to arginine peptides at two specific sites |
Q34988895 | Computing Models for FPGA-Based Accelerators |
Q92829689 | Conformational analysis of macrocycles: comparing general and specialized methods |
Q34279676 | Conformational dynamics of CYP3A4 demonstrate the important role of Arg212 coupled with the opening of ingress, egress and solvent channels to dehydrogenation of 4-hydroxy-tamoxifen |
Q38088765 | Conotoxin therapeutics: a pipeline for success? |
Q46818841 | Construction and assessment of reaction models between F₁F₀-synthase and organotin compounds: molecular docking and quantum calculations |
Q45945644 | Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization. |
Q89647207 | Covalent Complex of DNA and Bacterial Topoisomerase: Implications in Antibacterial Drug Development |
Q28250319 | Covalent docking of large libraries for the discovery of chemical probes |
Q36954036 | CovalentDock Cloud: a web server for automated covalent docking |
Q43816076 | CovalentDock: automated covalent docking with parameterized covalent linkage energy estimation and molecular geometry constraints |
Q35230342 | Creating and virtually screening databases of fluorescently-labelled compounds for the discovery of target-specific molecular probes. |
Q34673409 | Curcumin binds in silico to anti-cancer drug target enzyme MMP-3 (human stromelysin-1) with affinity comparable to two known inhibitors of the enzyme |
Q53203835 | Current insights into computer-aided immunotherapeutic design strategies. |
Q35136572 | Current progress in Structure-Based Rational Drug Design marks a new mindset in drug discovery |
Q38728365 | Current trends in endotoxin detection and analysis of endotoxin-protein interactions |
Q92138874 | DAKB-GPCRs: An Integrated Computational Platform for Drug Abuse Related GPCRs |
Q55381330 | DPubChem: a web tool for QSAR modeling and high-throughput virtual screening. |
Q48131379 | Dangerous liaisons: anion-induced protonation in phosphate-polyamine interactions and their implications for the charge states of biologically relevant surfaces |
Q33582796 | Data Intensive Genome Level Analysis for Identifying Novel, Non-Toxic Drug Targets for Multi Drug Resistant Mycobacterium tuberculosis |
Q59457379 | Design and Synthesis of New Benzophenone Derivatives with In Vivo Anti-Inflammatory Activity through Dual Inhibition of Edema and Neutrophil Recruitment |
Q51444087 | Design of novel lead molecules against RhoG protein as cancer target - a computational study. |
Q60167239 | Design, Synthesis, and Preliminary Biological Evaluation of GlcNAc-6P Analogues for the Modulation of Phosphoacetylglucosamine Mutase 1 (AGM1/PGM3) |
Q42712986 | Design, synthesis, structural characterization by IR, (1) H, (13) C, (15) N, 2D-NMR, X-ray diffraction and evaluation of a new class of phenylaminoacetic acid benzylidene hydrazines as pfENR inhibitors. |
Q56979637 | Designing a ligand for pharmaceutical purposes |
Q28473098 | Designing focused chemical libraries enriched in protein-protein interaction inhibitors using machine-learning methods |
Q33566835 | Designing of dual inhibitors for GSK-3β and CDK5: Virtual screening and in vitro biological activities study |
Q41227075 | Determination of locked interfaces in biomolecular complexes using Haptimol_RD. |
Q92624359 | Developing RNA aptamers for potential treatment of neurological diseases |
Q90619385 | Development and Testing of Druglike Screening Libraries |
Q34588100 | Development and validation of a modular, extensible docking program: DOCK 5. |
Q60162743 | Development of NMR and thermal shift assays for the evaluation of isocitrate lyase inhibitors |
Q30785490 | Development of Potent and Selective Inhibitors for Group VIA Calcium-Independent Phospholipase A2 Guided by Molecular Dynamics and Structure-Activity Relationships |
Q39280559 | Development of Safe Drugs: The hERG Challenge. |
Q51006379 | Development of a New De Novo Design Algorithm for Exploring Chemical Space. |
Q92696159 | Dexibuprofen amide derivatives as potential anticancer agents: synthesis, in silico docking, bioevaluation, and molecular dynamic simulation |
Q28822370 | Different combinations of atomic interactions predict protein-small molecule and protein-DNA/RNA affinities with similar accuracy |
Q42251037 | Directory of useful decoys, enhanced (DUD-E): better ligands and decoys for better benchmarking |
Q91642873 | Discovery and Characterisation of Dual Inhibitors of Tryptophan 2,3-Dioxygenase (TDO2) and Indoleamine 2,3-Dioxygenase 1 (IDO1) Using Virtual Screening |
Q38674006 | Discovery and characterization of a novel tryptophan hydroxylase 1 inhibitor as a prodrug. |
Q39024729 | Discovery and identification of PIM-1 kinase inhibitors through a hybrid screening approach |
Q91973559 | Discovery of Ganoderma lucidum triterpenoids as potential inhibitors against Dengue virus NS2B-NS3 protease |
Q27325512 | Discovery of Mer kinase inhibitors by virtual screening using Structural Protein-Ligand Interaction Fingerprints |
Q55360054 | Discovery of Natural Products as Novel and Potent FXR Antagonists by Virtual Screening. |
Q38892199 | Discovery of New E-Selectin Inhibitors by Virtual Screening, Fluorescence Binding Assays, and STD NMR Experiments. |
Q89862316 | Discovery of Two Brominated Oxindole Alkaloids as Staphylococcal DNA Gyrase and Pyruvate Kinase Inhibitors via Inverse Virtual Screening |
Q48180953 | Discovery of novel bacterial topoisomerase I inhibitors by use of in silico docking and in vitro assays. |
Q48238825 | Disruptor of telomeric silencing 1-like (DOT1L): disclosing a new class of non-nucleoside inhibitors by means of ligand-based and structure-based approaches |
Q33231454 | Diversity-oriented synthesis: exploring the intersections between chemistry and biology |
Q35649682 | DockBench: An Integrated Informatic Platform Bridging the Gap between the Robust Validation of Docking Protocols and Virtual Screening Simulations. |
Q58058285 | Docking Studies of Binding of Ethambutol to the C-Terminal Domain of the Arabinosyltransferase fromMycobacterium tuberculosis |
Q44096745 | Docking and scoring: applications to drug discovery in the interactomics era. |
Q46422378 | Docking of tryptophanyl [corrected tryptophan] analogs to trytophanyl-tRNA synthetase: implications for non-canonical amino acid incorporations |
Q34094873 | Docking studies on novel analogues of 8 methoxy fluoroquinolones against GyrA mutants of Mycobacterium tuberculosis |
Q37296002 | Docking, virtual high throughput screening and in silico fragment-based drug design |
Q31001950 | Docking-based classification models for exploratory toxicology studies on high-quality estrogenic experimental data |
Q38912817 | Docking-based virtual screening of Brazilian natural compounds using the OOMT as the pharmacological target database. |
Q33741174 | Dockomatic - automated ligand creation and docking |
Q26745421 | Drug Design for CNS Diseases: Polypharmacological Profiling of Compounds Using Cheminformatic, 3D-QSAR and Virtual Screening Methodologies |
Q57471980 | Drug repurposing: progress, challenges and recommendations |
Q29615103 | Drug target identification using side-effect similarity |
Q34570294 | Drug target inference through pathway analysis of genomics data |
Q97528635 | Drug targets for COVID-19 therapeutics: Ongoing global efforts |
Q53811521 | E-Pharmacophore filtering and molecular dynamics simulation studies in the discovery of potent drug-like molecules for Chronic Kidney Disease. |
Q37062254 | EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein-Ligand Docking |
Q35211087 | Efficient incorporation of protein flexibility and dynamics into molecular docking simulations |
Q53840471 | Efficient iterative virtual screening with Apache Spark and conformal prediction. |
Q64937657 | Embelin, a Potent Molecule for Alzheimer's Disease: A Proof of Concept From Blood-Brain Barrier Permeability, Acetylcholinesterase Inhibition and Molecular Docking Studies. |
Q90061778 | Emerging Screening Approaches in the Development of Nrf2-Keap1 Protein-Protein Interaction Inhibitors |
Q34908421 | Emerging methods for ensemble-based virtual screening |
Q26741869 | Emerging role of bioinformatics tools and software in evolution of clinical research |
Q34610866 | Emerging topics in structure-based virtual screening. |
Q48020109 | Endocannabinoid Transport Proteins: Discovery of Tools to Study Sterol Carrier Protein-2. |
Q35811965 | Energy Minimization on Manifolds for Docking Flexible Molecules |
Q33916690 | Enhance the performance of current scoring functions with the aid of 3D protein-ligand interaction fingerprints |
Q30585969 | Enhanced ranking of PknB Inhibitors using data fusion methods |
Q30370020 | Ensemble-based virtual screening reveals potential novel antiviral compounds for avian influenza neuraminidase. |
Q38195005 | Epigenetic molecular recognition: a biomolecular modeling perspective |
Q38737287 | Estimation of kinetic and thermodynamic ligand-binding parameters using computational strategies |
Q39951742 | Estimation of the applicability domain of kernel-based machine learning models for virtual screening |
Q38908962 | Estimation of the protein-ligand interaction energy for model building and validation. |
Q36092127 | Evaluation of Adamantane Derivatives as Inhibitors of Dengue Virus mRNA Cap Methyltransferase by Docking and Molecular Dynamics Simulations |
Q37518530 | Evaluation of DOCK 6 as a pose generation and database enrichment tool |
Q41409203 | Evaluation of a novel virtual screening strategy using receptor decoy binding sites. |
Q41815648 | Evaluation of different virtual screening programs for docking in a charged binding pocket |
Q36700190 | Evaluation of machine-learning methods for ligand-based virtual screening |
Q33938092 | Exploiting PubChem for Virtual Screening |
Q44597534 | Exploring the Cytotoxic Potential of Triterpenoids-enriched Fraction of Bacopa monnieri by Implementing In vitro, In vivo, and In silico Approaches |
Q88668132 | Exploring the binding energy profiles of full agonists, partial agonists, and antagonists of the α7 nicotinic acetylcholine receptor |
Q47589131 | Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods and applications |
Q36933260 | Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods, and applications |
Q27001129 | Exploring the role of receptor flexibility in structure-based drug discovery |
Q45922261 | Exploring the selectivity of a ligand complex with CDK2/CDK1: a molecular dynamics simulation approach. |
Q39027957 | Exploring the stability of ligand binding modes to proteins by molecular dynamics simulations |
Q48032873 | Exploring β-Tubulin Inhibitors from Plant Origin using Computational Approach |
Q51515408 | Exponential repulsion improves structural predictability of molecular docking. |
Q42553799 | FAF-Drugs: free ADME/tox filtering of compound collections. |
Q84074870 | FDA approved drugs complexed to their targets: evaluating pose prediction accuracy of docking protocols |
Q51325278 | FIPSDock: a new molecular docking technique driven by fully informed swarm optimization algorithm. |
Q90182654 | FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction |
Q36307283 | FacPad: Bayesian sparse factor modeling for the inference of pathways responsive to drug treatment |
Q33246009 | Finding a needle in a haystack: development of a combinatorial virtual screening approach for identifying high specificity heparin/heparan sulfate sequence(s). |
Q39011116 | Fisetin inhibits human melanoma cell growth through direct binding to p70S6K and mTOR: findings from 3-D melanoma skin equivalents and computational modeling |
Q63246733 | Flavonoids as Putative Epi-Modulators: Insight into Their Binding Mode with BRD4 Bromodomains Using Molecular Docking and Dynamics |
Q59336682 | Flexible docking-based molecular dynamics simulation of natural product compounds and Ebola virus Nucleocapsid (EBOV NP): a computational approach to discover new drug for combating Ebola |
Q34139889 | Fluorescent TEM-1 β-lactamase with wild-type activity as a rapid drug sensor for in vitro drug screening |
Q26795719 | Focusing on shared subpockets - new developments in fragment-based drug discovery |
Q55128382 | Footprinting of inhibitor interactions of in silico identified inhibitors of trypanothione reductase of Leishmania parasite. |
Q39554568 | Forecasting CYP2D6 and CYP3A4 Risk with a Global/Local Fusion Model of CYP450 Inhibition |
Q38661496 | Fragment optimization for GPCRs by molecular dynamics free energy calculations: Probing druggable subpockets of the A 2A adenosine receptor binding site |
Q34690000 | Fragment-based lead discovery on G-protein-coupled receptors |
Q56980133 | From the protein's perspective: the benefits and challenges of protein structure-based pharmacophore modeling |
Q56985375 | Fullerene sorting proteins |
Q37424995 | Fumigaclavine C from a marine-derived fungus Aspergillus fumigatus induces apoptosis in MCF-7 breast cancer cells. |
Q47750928 | Function and structure-based screening of compounds, peptides and proteins to identify drug candidates. |
Q37184794 | G protein betagamma subunits as targets for small molecule therapeutic development |
Q112583331 | GNINA 1.0: molecular docking with deep learning |
Q40650150 | GeauxDock: A novel approach for mixed-resolution ligand docking using a descriptor-based force field |
Q48024105 | Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks |
Q44622243 | Generation of receptor structural ensembles for virtual screening using binding site shape analysis and clustering |
Q42068998 | Genetic algorithm with a crossover elitist preservation mechanism for protein-ligand docking |
Q28475728 | Genomes2Drugs: identifies target proteins and lead drugs from proteome data |
Q91763848 | Getting Docking into Shape Using Negative Image-Based Rescoring |
Q47246387 | HIGA: A Running History Information Guided Genetic Algorithm for Protein-Ligand Docking |
Q95561118 | HPLC-fluorescence method for the enantioselective analysis of propranolol in rat serum using immobilized polysaccharide-based chiral stationary phase |
Q47626065 | Harnessing the potential of natural products in drug discovery from a cheminformatics vantage point |
Q27335598 | Harvesting candidate genes responsible for serious adverse drug reactions from a chemical-protein interactome |
Q38469746 | Heat-shock protein 90 (Hsp90) as anticancer target for drug discovery: an ample computational perspective |
Q58697487 | Heterocycles 48. Synthesis, Characterization and Biological Evaluation of Imidazo[2,1-][1,3,4]Thiadiazole Derivatives as Anti-Inflammatory Agents |
Q37411892 | High-Affinity α-Conotoxin PnIA Analogs Designed on the Basis of the Protein Surface Topography Method. |
Q94564341 | High-Throughput Docking Using Quantum Mechanical Scoring |
Q38088365 | High-throughput and in silico screenings in drug discovery. |
Q89508096 | High-throughput screening campaigns against a PI3Kα isoform bearing the H1047R mutation identified potential inhibitors with novel scaffolds |
Q95305986 | Highly Conserved Homotrimer Cavity Formed by the SARS-CoV-2 Spike Glycoprotein: A Novel Binding Site |
Q41206521 | Homology modeling and virtual screening of inhibitors against TEM- and SHV-type-resistant mutants: A multilayer filtering approach. |
Q41912128 | Homology modeling and virtual screening studies of FGF-7 protein-a structure-based approach to design new molecules against tumor angiogenesis |
Q30994008 | How much NMR data is required to determine a protein-ligand complex structure? |
Q35840893 | How well do the substrates KISS the enzyme? Molecular docking program selection for feruloyl esterases. |
Q38736291 | Hsp90 inhibitors, part 2: combining ligand-based and structure-based approaches for virtual screening application |
Q26740107 | Human Aquaporin-4 and Molecular Modeling: Historical Perspective and View to the Future |
Q46213251 | Hybrid Receptor-Bound/MM-GBSA-Per-residue Energy-Based Pharmacophore Modelling: Enhanced Approach for Identification of Selective LTA4H Inhibitors as Potential Anti-inflammatory Drugs |
Q47994753 | Hydroxytyrosol regulates the autophagy of vascular adventitial fibroblasts through the SIRT1-mediated signaling pathway |
Q35690045 | IVSPlat 1.0: an integrated virtual screening platform with a molecular graphical interface |
Q47780253 | Identification and characterization of ErbB4 kinase inhibitors for effective breast cancer therapy |
Q34787546 | Identification of Hck inhibitors as hits for the development of antileukemia and anti-HIV agents |
Q48834531 | Identification of New Lead Molecules Against UBE2NL Enzyme for Cancer Therapy. |
Q28548260 | Identification of Novel Aldose Reductase Inhibitors from Spices: A Molecular Docking and Simulation Study |
Q91644050 | Identification of Novel PI3Kδ Selective Inhibitors by SVM-Based Multistage Virtual Screening and Molecular Dynamics Simulations |
Q49804173 | Identification of Novel Protein Kinase Receptor Type 2 Inhibitors Using Pharmacophore and Structure-Based Virtual Screening. |
Q90284778 | Identification of Potent VEGF Inhibitors for the Clinical Treatment of Glioblastoma, A Virtual Screening Approach |
Q48022320 | Identification of druggable targets for Acinetobacter baumannii via subtractive genomics and plausible inhibitors for MurA and MurB. |
Q38958908 | Identification of green tea catechins as potent inhibitors of the polo-box domain of polo-like kinase 1. |
Q48365472 | Identification of natural inhibitors of Bcr-Abl for the treatment of chronic myeloid leukemia. |
Q40058742 | Identification of new potent inhibitors of dengue virus NS3 protease from traditional Chinese medicine database |
Q47279853 | Identification of new potential HIV-1 reverse transcriptase inhibitors by QSAR modeling and structure-based virtual screening |
Q92606226 | Identification of novel antifungal agents: antimicrobial evaluation, SAR, ADME-Tox and molecular docking studies of a series of imidazole derivatives |
Q92889749 | Identification of potential agents for thymoma by integrated analyses of differentially expressed tumour-associated genes and molecular docking experiments |
Q48321338 | Identification of potential aryl hydrocarbon receptor ligands by virtual screening of industrial chemicals. |
Q55692117 | Identification of potential inhibitor targeting enoyl-acyl carrier protein reductase (InhA) in Mycobacterium tuberculosis: a computational approach. |
Q45353103 | Identification of potential inhibitors of H5N1 influenza A virus neuraminidase by ligand-based virtual screening approach |
Q28485264 | Identification of small molecule inhibitors of PTPσ through an integrative virtual and biochemical approach |
Q41015632 | Identification of small-molecule binding pockets in the soluble monomeric form of the Aβ42 peptide |
Q36182445 | Immunoinformatics Approach in Designing Epitope-based Vaccine Against Meningitis-inducing Bacteria (Streptococcus pneumoniae, Neisseria meningitidis, and Haemophilus influenzae Type b). |
Q56919414 | Impact of X-Ray Structure on Predictivity of Scoring Functions: PPARγ Case Study |
Q37412834 | Importance of ligand reorganization free energy in protein-ligand binding-affinity prediction. |
Q34219097 | Improved cytochrome P450 3A4 molecular models accurately predict the Phe215 requirement for raloxifene dehydrogenation selectivity |
Q54963827 | Improving Docking Performance Using Negative Image-Based Rescoring. |
Q38698230 | Improving binding mode and binding affinity predictions of docking by ligand-based search of protein conformations: evaluation in D3R grand challenge 2015. |
Q89152321 | Improving small molecule virtual screening strategies for the next generation of therapeutics |
Q91973876 | In Silico Docking of Alkylphosphocholine Analogs to Human Serum Albumin Predicts Partitioning and Pharmacokinetics |
Q36094897 | In Silico Predictions of Drug - Drug Interactions Caused by CYP1A2, 2C9 and 3A4 Inhibition - a Comparative Study of Virtual Screening Performance |
Q92944483 | In Silico Structural Modeling and Analysis of Elongation Factor-1 Alpha and Elongation Factor-like Protein |
Q46361570 | In Silico Study and Bioprospection of the Antibacterial and Antioxidant Effects of Flavone and Its Hydroxylated Derivatives |
Q35970006 | In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein |
Q92863081 | In silico Methods for Design of Kinase Inhibitors as Anticancer Drugs |
Q51746245 | In silico Prediction and Wet Lab Validation of Arisaema tortuosum (Wall.) Schott Extracts as Antioxidant and Anti-breast Cancer Source: A Comparative Study. |
Q42270323 | In silico approach for the discovery of new PPARγ modulators among plant-derived polyphenols |
Q36256916 | In silico approaches and chemical space of anti-P-type ATPase compounds for discovering new antituberculous drugs. |
Q27974727 | In silico characterization of an atypical MAPK phosphatase of Plasmodium falciparum as a suitable target for drug discovery |
Q38968891 | In silico frameworks for systematic pre-clinical screening of potential anti-leukemia therapeutics |
Q35097744 | In silico identification and evaluation of leads for the simultaneous inhibition of protease and helicase activities of HCV NS3/4A protease using complex based pharmacophore mapping and virtual screening |
Q30661799 | In silico mechanistic analysis of IRF3 inactivation and high-risk HPV E6 species-dependent drug response |
Q36840592 | In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling |
Q34185134 | In silico screening of quadruplex-binding ligands |
Q38638421 | In silico studies in drug research against neurodegenerative diseases |
Q52665081 | In silico studies targeting G-protein coupled receptors for drug research against Parkinson's disease. |
Q30353814 | In silico study on multidrug resistance conferred by I223R/H275Y double mutant neuraminidase. |
Q38783193 | In vitro Cytotoxic Activities and Molecular Mechanisms of Angelica shikokiana Extract and its Isolated Compounds |
Q87637133 | In vitro antiamoebic activity evaluation and docking studies of metronidazole-triazole hybrids |
Q29863457 | In-Silico screening of Pleconaril and its novel substituted derivatives with Neuraminidase of H1N1 Influenza strain |
Q39200387 | In-silico analyses of sesquiterpene-related compounds on selected Leishmania enzyme-based targets. |
Q48044225 | Incorporating specificity into optimization: evaluation of SPA using CSAR 2014 and CASF 2013 benchmarks |
Q89450851 | Influence of gauche effect on uncharged oxime reactivators for the reactivation of tabun-inhibited AChE: quantum chemical and steered molecular dynamics studies |
Q36496151 | Inhibiting Helicobacter pylori HtrA protease by addressing a computationally predicted allosteric ligand binding site |
Q36242811 | Inhibition of bacterial virulence: drug-like molecules targeting the Salmonella enterica PhoP response regulator |
Q35996541 | Inhibition of neuraminidase by Ganoderma triterpenoids and implications for neuraminidase inhibitor design |
Q51483259 | Insight into the structural features of pyrazolopyrimidine- and pyrazolopyridine-based B-Raf(V600E) kinase inhibitors by computational explorations. |
Q52361300 | Integrating Experimental and In Silico HTS in the Discovery of Inhibitors of Protein-Nucleic Acid Interactions. |
Q51872322 | Integrating structure- and ligand-based virtual screening: comparison of individual, parallel, and fused molecular docking and similarity search calculations on multiple targets. |
Q34967191 | Integrating virtual and biochemical screening for protein tyrosine phosphatase inhibitor discovery. |
Q64898800 | Interaction of Tamoxifen Analogs With the Pocket Site of Some Hormone Receptors. A Molecular Docking and Density Functional Theory Study. |
Q42255523 | Interactions of ketoamide inhibitors on HCV NS3/4A protease target: molecular docking studies |
Q60950229 | Inverse Molecular Docking as a Novel Approach to Study Anticarcinogenic and Anti-Neuroinflammatory Effects of Curcumin |
Q36252541 | Investigating metabolite-protein interactions: an overview of available techniques |
Q90241352 | Investigation of Phospholipase Cγ1 Interaction with SLP76 Using Molecular Modeling Methods for Identifying Novel Inhibitors |
Q88518698 | Is It Reliable to Take the Molecular Docking Top Scoring Position as the Best Solution without Considering Available Structural Data? |
Q28833848 | Is It Reliable to Use Common Molecular Docking Methods for Comparing the Binding Affinities of Enantiomer Pairs for Their Protein Target? |
Q42361137 | Iterative Knowledge-Based Scoring Functions Derived from Rigid and Flexible Decoy Structures: Evaluation with the 2013 and 2014 CSAR Benchmarks |
Q38032412 | Iterative operations on microdroplets and continuous monitoring of processes within them; determination of solubility diagrams of proteins. |
Q90193662 | Key Topics in Molecular Docking for Drug Design |
Q42285677 | Kinetic characterizations of diallyl sulfide analogs for their novel role as CYP2E1 enzyme inhibitors |
Q37544381 | Knowing when to give up: early-rejection stratagems in ligand docking |
Q36938240 | Knowledge-Based Methods To Train and Optimize Virtual Screening Ensembles |
Q37701430 | LIBSA--a method for the determination of ligand-binding preference to allosteric sites on receptor ensembles |
Q35570159 | LOCAL KERNEL CANONICAL CORRELATION ANALYSIS WITH APPLICATION TO VIRTUAL DRUG SCREENING. |
Q112609311 | Learning protein-ligand binding affinity with atomic environment vectors |
Q37053828 | Lessons learned in empirical scoring with smina from the CSAR 2011 benchmarking exercise |
Q47414331 | Lessons learned in induced fit docking and metadynamics in the Drug Design Data Resource Grand Challenge 2. |
Q36290790 | LigMerge: a fast algorithm to generate models of novel potential ligands from sets of known binders |
Q36579823 | Ligand binding mode prediction by docking: mdm2/mdmx inhibitors as a case study |
Q36496975 | Ligand discovery and virtual screening using the program LIDAEUS. |
Q40898209 | Ligand docking and binding site analysis with PyMOL and Autodock/Vina |
Q35801074 | Ligand similarity guided receptor selection enhances docking accuracy and recall for non-nucleoside HIV reverse transcriptase inhibitors |
Q38896131 | Ligand-based virtual screening under partial shape constraints |
Q38031893 | Ligand-receptor interaction platforms and their applications for drug discovery. |
Q51891908 | Ligand-specific scoring functions: improved ranking of docking solutions. |
Q40254260 | Limiting the Number of Potential Binding Modes by Introducing Symmetry into Ligands: Structure-Based Design of Inhibitors for Trypsin-Like Serine Proteases |
Q24813590 | MEDock: a web server for efficient prediction of ligand binding sites based on a novel optimization algorithm |
Q33327574 | MS-DOCK: accurate multiple conformation generator and rigid docking protocol for multi-step virtual ligand screening |
Q45946918 | Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening. |
Q36951921 | Machine learning methods and docking for predicting human pregnane X receptor activation |
Q90324304 | Machine learning prediction of oncology drug targets based on protein and network properties |
Q50902844 | Medicinal Chemistry Profiling of Monocyclic 1,2-Azaborines. |
Q38865504 | Medicinal Chemistry Strategies to Disrupt the p53-MDM2/MDMX Interaction. |
Q34560447 | Message passing interface and multithreading hybrid for parallel molecular docking of large databases on petascale high performance computing machines. |
Q62515266 | Metal–ligand interactions in drug design |
Q50042689 | Methyldopa blocks MHC class II binding to disease-specific antigens in autoimmune diabetes. |
Q64926449 | Microwave-Assisted Synthesis of Imidazo[4,5-f][1,10]phenanthroline Derivatives as Apoptosis Inducers in Chemotherapy by Stabilizing Bcl-2 G-quadruplex DNA. |
Q54209288 | Microwave-assisted synthesis of arene ruthenium(II) complexes [(η⁶-RC₆H₅)Ru(m-MOPIP)Cl]Cl (R = -H and -CH₃) as groove binder to c-myc G4 DNA. |
Q64098229 | Middle-way flexible docking: Pose prediction using mixed-resolution Monte Carlo in estrogen receptor α |
Q50955545 | Modeling of protein-peptide interactions using the CABS-dock web server for binding site search and flexible docking. |
Q33309679 | Modeling the inhibition of quadruple mutant Plasmodium falciparum dihydrofolate reductase by pyrimethamine derivatives |
Q33602883 | Modification of S-Adenosyl-l-Homocysteine as Inhibitor of Nonstructural Protein 5 Methyltransferase Dengue Virus Through Molecular Docking and Molecular Dynamics Simulation |
Q89870017 | Molecular Docking: From Lock and Key to Combination Lock |
Q93126855 | Molecular Docking: Shifting Paradigms in Drug Discovery |
Q57176854 | Molecular Modeling of Drug-Transporter Interactions-An International Transporter Consortium Perspective |
Q50932369 | Molecular Quantum Similarity, Chemical Reactivity and Database Screening of 3D Pharmacophores of the Protein Kinases A, B and G from Mycobacterium tuberculosis. |
Q40105271 | Molecular docking analysis of known flavonoids as duel COX-2 inhibitors in the context of cancer. |
Q35519541 | Molecular docking and inhibition studies on the interactions of Bacopa monnieri's potent phytochemicals against pathogenic Staphylococcus aureus. |
Q41562707 | Molecular docking and multivariate analysis of xanthones as antimicrobial and antiviral agents |
Q26800097 | Molecular docking and structure-based drug design strategies |
Q26743663 | Molecular docking as a popular tool in drug design, an in silico travel |
Q52678127 | Molecular docking based screening of Noggin inhibitors. |
Q42750281 | Molecular docking of bacosides with tryptophan hydroxylase: a model to understand the bacosides mechanism |
Q37285667 | Molecular docking studies for the identification of novel melatoninergic inhibitors for acetylserotonin-O-methyltransferase using different docking routines |
Q35150471 | Molecular docking: a powerful approach for structure-based drug discovery |
Q53250654 | Molecular dynamics simulation and density functional theory studies on the active pocket for the binding of paclitaxel to tubulin. |
Q44409699 | Molecular dynamics simulation study and molecular docking descriptors in structure-based QSAR on acetylcholinesterase (AChE) inhibitors |
Q34061019 | Molecular dynamics simulations and drug discovery |
Q39494960 | Molecular dynamics simulations and in silico peptide ligand screening of the Elk-1 ETS domain. |
Q47400742 | Molecular dynamics simulations and novel drug discovery |
Q28542431 | Molecular investigations of protriptyline as a multi-target directed ligand in Alzheimer's disease |
Q47298705 | Molecular modeling and docking studies of the oxytocin receptor |
Q58862097 | Molecular modeling of plant metabolites with anti-Onchocerca activity |
Q88046085 | Molecular modeling of the AhR structure and interactions can shed light on ligand-dependent activation and transformation mechanisms |
Q37843834 | Molecular motions in drug design: the coming age of the metadynamics method |
Q61455372 | Molecules that Inhibit Bacterial Resistance Enzymes |
Q101212027 | MultiCon: A Semi-Supervised Approach for Predicting Drug Function from Chemical Structure Analysis |
Q35096124 | Multipose binding in molecular docking. |
Q36457138 | Mutation adjacent to the active site tyrosine can enhance DNA cleavage and cell killing by the TOPRIM Gly to Ser mutant of bacterial topoisomerase I. |
Q38643859 | Naphtho[1,2-b]furan-4,5-dione is a potent anti-MRSA agent against planktonic, biofilm and intracellular bacteria |
Q59925168 | Network of time-multiplexed optical parametric oscillators as a coherent Ising machine |
Q36654909 | New approaches to molecular cancer therapeutics |
Q36390061 | New developments in crystallography: exploring its technology, methods and scope in the molecular biosciences. |
Q34027266 | New inhibitors of VEGFR-2 targeting the extracellular domain dimerization process |
Q42326815 | Nilotinib based pharmacophore models for BCRABL. |
Q30248992 | Norovirus drug candidates that inhibit viral capsid attachment to human histo-blood group antigens |
Q99405141 | Novel Bi-heterocycles as Potent Inhibitors of Urease and Less Cytotoxic Agents: 3-({5-((2-Amino-1,3-thiazol-4-yl)methyl)-1,3,4-oxadiazol-2-yl}sulfanyl)-N-(un/substituted-phenyl)propanamides |
Q33703084 | Novel Linear Peptides with High Affinity to αvβ3 Integrin for Precise Tumor Identification |
Q35765639 | Novel Scaffold Identification of mGlu1 Receptor Negative Allosteric Modulators Using a Hierarchical Virtual Screening Approach. |
Q37543319 | Novel codon insert in HIV type 1 clade B reverse transcriptase associated with low-level viremia during antiretroviral therapy. |
Q90655635 | Novel glitazones as PPARγ agonists: molecular design, synthesis, glucose uptake activity and 3D QSAR studies |
Q34020313 | Novel human mPGES-1 inhibitors identified through structure-based virtual screening |
Q36939959 | Novel inhibitors of checkpoint kinase 1. |
Q47293289 | Novel missense mutations in gidB gene associated with streptomycin resistance in Mycobacterium tuberculosis: insights from molecular dynamics |
Q33567085 | Novel mycosin protease MycP₁ inhibitors identified by virtual screening and 4D fingerprints |
Q48197038 | Novel pyridine-2,4,6-tricarbohydrazide thiourea compounds as small key organic molecules for the potential treatment of type-2 diabetes mellitus: In vitro studies against yeast α- and β-glucosidase and in silico molecular modeling. |
Q47965977 | Novel series of 1,2,4-trioxane derivatives as antimalarial agents |
Q39033823 | Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets |
Q34481378 | On scaffold hopping: challenges in the discovery of sulfated small molecules as mimetics of glycosaminoglycans |
Q38674008 | On the Integration of In Silico Drug Design Methods for Drug Repurposing |
Q42106721 | On the use of orientational restraints and symmetry corrections in alchemical free energy calculations |
Q42691078 | Optimal affinity ranking for automated virtual screening validated in prospective D3R grand challenges. |
Q36116506 | Optimal strategies for virtual screening of induced-fit and flexible target in the 2015 D3R Grand Challenge |
Q34637014 | Optimization and visualization of the edge weights in optimal assignment methods for virtual screening |
Q28264356 | Optimization of CAMD techniques 3. Virtual screening enrichment studies: a help or hindrance in tool selection? |
Q34625066 | Optimization of molecular docking scores with support vector rank regression |
Q50892827 | Optimizing the affinity and specificity of ligand binding with the inclusion of solvation effect. |
Q38818618 | Overview of the SAMPL5 host-guest challenge: Are we doing better? |
Q33320236 | PDTD: a web-accessible protein database for drug target identification |
Q42182002 | PHOENIX: a scoring function for affinity prediction derived using high-resolution crystal structures and calorimetry measurements |
Q34358460 | PL-PatchSurfer: a novel molecular local surface-based method for exploring protein-ligand interactions |
Q39026290 | PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking |
Q59328919 | Paradigm Shift in Drug Re-purposing From Phenalenone to Phenaleno-Furanone to Combat Multi-Drug Resistant Serovar Typhi |
Q28486252 | Parallel screening of wild-type and drug-resistant targets for anti-resistance neuraminidase inhibitors |
Q28534533 | Pathway-based screening strategy for multitarget inhibitors of diverse proteins in metabolic pathways |
Q38179927 | Pharmacoinformatic approaches to understand complexation of dendrimeric nanoparticles with drugs |
Q35248674 | Pharmacoinformatics approach for investigation of alternative potential hepatitis C virus nonstructural protein 5B inhibitors. |
Q26772046 | Pharmacophore Models and Pharmacophore-Based Virtual Screening: Concepts and Applications Exemplified on Hydroxysteroid Dehydrogenases |
Q35395528 | Pharmacophore modeling improves virtual screening for novel peroxisome proliferator-activated receptor-gamma ligands |
Q38216045 | Pharmacophore modeling technique applied for the discovery of proteasome inhibitors |
Q34621241 | Pharmacophore modelling: applications in drug discovery |
Q42290292 | Pharmacophore-Based Virtual Screening of Novel Inhibitors and Docking Analysis for CYP51A from Penicillium italicum |
Q28530398 | Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms |
Q35870622 | Plantamajoside, a potential anti-tumor herbal medicine inhibits breast cancer growth and pulmonary metastasis by decreasing the activity of matrix metalloproteinase-9 and -2. |
Q37626063 | Plasmodium falciparum: new molecular targets with potential for antimalarial drug development |
Q30377334 | PoLi: A Virtual Screening Pipeline Based on Template Pocket and Ligand Similarity. |
Q47355897 | Potential natural mTOR inhibitors screened by in silico approach and suppress hepatic stellate cells activation. |
Q92416641 | Predicting kinase inhibitors using bioactivity matrix derived informer sets |
Q90248056 | Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets |
Q33900947 | Predicting perfect drug candidates: Molecular docking 2.0. |
Q35092840 | Predicting target-ligand interactions using protein ligand-binding site and ligand substructures |
Q34669773 | Predicting the accuracy of protein-ligand docking on homology models. |
Q53185669 | Predicting the relative binding affinity of mineralocorticoid receptor antagonists by density functional methods. |
Q37563518 | Prediction of N-Methyl-D-Aspartate Receptor GluN1-Ligand Binding Affinity by a Novel SVM-Pose/SVM-Score Combinatorial Ensemble Docking Scheme |
Q40809353 | Prediction of protein targets of kinetin using in silico and in vitro methods: a case study on spinach seed germination mechanism |
Q35073109 | Predictive power of molecular dynamics receptor structures in virtual screening |
Q28485175 | Probabilistic prediction of contacts in protein-ligand complexes |
Q34516171 | Probing molecular docking in a charged model binding site |
Q21133564 | Prospecting for novel plant-derived molecules of Rauvolfia serpentina as inhibitors of Aldose Reductase, a potent drug target for diabetes and its complications |
Q35615893 | Prospective performance evaluation of selected common virtual screening tools. Case study: Cyclooxygenase (COX) 1 and 2. |
Q39719414 | Protease Inhibitors in View of Peptide Substrate Databases |
Q57990955 | Protein Ligand DockingDocking in Drug DiscoveryDrug Discovery |
Q90589166 | Protein Preparation Automatic Protocol for High-Throughput Inverse Virtual Screening: Accelerating the Target Identification by Computational Methods |
Q44012277 | Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments |
Q47706285 | Protein tyrosine phosphatase 1B inhibitory activity of cone oils from Juniperus chinensis cv. Kaizuca and in silico theoretical explanation |
Q45716121 | Protein-specific force field derived from the fragment molecular orbital method can improve protein-ligand binding interactions. |
Q107482904 | Proteo-chemometrics interaction fingerprints of protein–ligand complexes predict binding affinity |
Q28481635 | Proteochemometric modeling of the bioactivity spectra of HIV-1 protease inhibitors by introducing protein-ligand interaction fingerprint |
Q33790112 | Pterostilbene, a Methoxylated Resveratrol Derivative, Efficiently Eradicates Planktonic, Biofilm, and Intracellular MRSA by Topical Application |
Q36343105 | PyGOLD: A python based API for docking based virtual screening workflow generation. |
Q30381629 | Q-Dock(LHM): Low-resolution refinement for ligand comparative modeling. |
Q39677901 | QSAR Models at the US FDA/NCTR. |
Q57019425 | QSAR and Molecular Modeling Approaches for Prediction of Drug Metabolism |
Q38584487 | Quantitative structure-activity relationship: promising advances in drug discovery platforms |
Q55016340 | Quantum Chemical Approaches in Structure-Based Virtual Screening and Lead Optimization. |
Q41633463 | Quantum mechanics implementation in drug-design workflows: does it really help? |
Q44262192 | Rapid prediction of solvation free energy. 3. Application to the SAMPL2 challenge |
Q38028555 | Rational design of CCR2 antagonists: a survey of computational studies |
Q34460848 | ReFlexIn: a flexible receptor protein-ligand docking scheme evaluated on HIV-1 protease |
Q39152860 | Recent Advances and Applications of Molecular Docking to G Protein-Coupled Receptors |
Q57175255 | Recent Trends and Applications of Molecular Modeling in GPCR⁻Ligand Recognition and Structure-Based Drug Design |
Q33443633 | Recent advances in computer-aided drug design |
Q34645067 | Recent advances in proteasome inhibitor discovery |
Q42958774 | Receptor-based virtual screening of EGFR kinase inhibitors from the NCI diversity database. |
Q99614761 | Recognition of Potential COVID-19 Drug Treatments through the Study of Existing Protein-Drug and Protein-Protein Structures: An Analysis of Kinetically Active Residues |
Q40475389 | Recognizing drug targets using evolutionary information: implications for repurposing FDA-approved drugs against Mycobacterium tuberculosis H37Rv. |
Q92243083 | Refinement and Rescoring of Virtual Screening Results |
Q39067502 | Refinement, Reduction, and Replacement of Animal Toxicity Tests by Computational Methods |
Q36764009 | Regulation of protein-ligand binding affinity by hydrogen bond pairing. |
Q30357425 | Related genes and potential biomarkers for early diagnosis of Alzheimer's disease: a preliminary study based on DNA microarray. |
Q37159748 | Repositioning organohalogen drugs: a case study for identification of potent B-Raf V600E inhibitors via docking and bioassay |
Q31027566 | Representativity of target families in the Protein Data Bank: impact for family-directed structure-based drug discovery |
Q90998969 | Retrofitting metal-organic frameworks |
Q48059059 | Revealing the importance of linkers in K-series oxime reactivators for tabun-inhibited AChE using quantum chemical, docking and SMD studies. |
Q38191684 | Reverse docking: a powerful tool for drug repositioning and drug rescue |
Q38088324 | Review of knowledge for rational design and identification of anti-tubercular compounds |
Q39004198 | Rigid-Docking Approaches to Explore Protein-Protein Interaction Space. |
Q43891873 | Role of interactions and volume variation in discriminating active and inactive forms of cyclin-dependent kinase-2 inhibitor complexes |
Q99246229 | SARS-CoV Mpro inhibitory activity of aromatic disulfide compounds: QSAR model |
Q33878164 | SPA-LN: a scoring function of ligand-nucleic acid interactions via optimizing both specificity and affinity |
Q34530633 | Sanjeevini: a freely accessible web-server for target directed lead molecule discovery |
Q58794823 | Scaffolds as Structural Tools for Bone-Targeted Drug Delivery |
Q36969891 | Schnurri-3 is an essential regulator of osteoblast function and adult bone mass |
Q36944104 | Screening Outside the Catalytic Site: Inhibition of Macromolecular Inter-actions Through Structure-Based Virtual Ligand Screening Experiments. |
Q38297767 | Screening alpha-glucosidase and alpha-amylase inhibitors from natural compounds by molecular docking in silico |
Q35878687 | Selecting, Acquiring, and Using Small Molecule Libraries for High-Throughput Screening |
Q54541635 | Selective flexibility of side-chain residues improves VEGFR-2 docking score using AutoDock Vina. |
Q33957695 | SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties |
Q33374550 | Side-chain conformational space analysis (SCSA): a multi conformation-based QSAR approach for modeling and prediction of protein-peptide binding affinities |
Q96834102 | Signature-based approaches for informed drug repurposing: targeting CNS disorders |
Q48538413 | Similarity search combined with docking and molecular dynamics for novel hAChE inhibitor scaffolds. |
Q46888109 | Similarity study of serine proteases inhibitors |
Q28728561 | Software and resources for computational medicinal chemistry |
Q35819956 | Specificity quantification of biomolecular recognition and its implication for drug discovery |
Q92097004 | Stalis: A Computational Method for Template-Based Ab Initio Ligand Design |
Q94602027 | State-of-the-art tools unveil potent drug targets amongst clinically approved drugs to inhibit helicase in SARS-CoV-2 |
Q35794917 | Statistical mechanics and molecular dynamics in evaluating thermodynamic properties of biomolecular recognition |
Q89750991 | Strategies for targeting the cardiac sarcomere: avenues for novel drug discovery |
Q51539813 | Structural Basis and Mechanism of Chiral Benzedrine Molecules Interacting With Third Dopamine Receptor. |
Q26768150 | Structural Features of Ion Transport and Allosteric Regulation in Sodium-Calcium Exchanger (NCX) Proteins |
Q41343506 | Structural basis for PPAR partial or full activation revealed by a novel ligand binding mode |
Q36416631 | Structural biology and bioinformatics in drug design: opportunities and challenges for target identification and lead discovery |
Q28259532 | Structural biology and drug discovery |
Q35586235 | Structural dynamics and inhibitor searching for Wnt-4 protein using comparative computational studies |
Q48542611 | Structural ensemble-based docking simulation and biophysical studies discovered new inhibitors of Hsp90 N-terminal domain. |
Q92876781 | Structural insights into NS5B protein of novel equine hepaciviruses and pegiviruses complexed with polymerase inhibitors |
Q47412161 | Structural insights into the binding mode of flavonols with the active site of matrix metalloproteinase-9 through molecular docking and molecular dynamic simulations studies |
Q30587389 | Structural protein-ligand interaction fingerprints (SPLIF) for structure-based virtual screening: method and benchmark study |
Q35669512 | Structural requirements of N-substituted spiropiperidine analogues as agonists of nociceptin/orphanin FQ receptor |
Q92860595 | Structural, functional, and stability change predictions in human telomerase upon specific point mutations |
Q56854167 | Structure based virtual screening to discover putative drug candidates: Necessary considerations and successful case studies |
Q57697072 | Structure-Based Discovery and Experimental Verification of Novel AI-2 Quorum Sensing Inhibitors againstVibrio harveyi |
Q39750808 | Structure-Based Pharmacophores for Virtual Screening |
Q36055836 | Structure-Based Virtual Screening of Commercially Available Compound Libraries |
Q36546173 | Structure-activity relationships and molecular modeling of 1,2,4-triazoles as adenosine receptor antagonists |
Q46522604 | Structure-based design of Aurora A & B inhibitors. |
Q36394817 | Structure-based design of novel combinatorially generated NBTIs as potential DNA gyrase inhibitors against various Staphylococcus aureus mutant strains. |
Q42121557 | Structure-based predictions of activity cliffs |
Q43865391 | Structure-based screening of inhibitors against KPC-2: designing potential drug candidates against multidrug-resistant bacteria |
Q34063488 | Structure-based selection of small molecules to alter allele-specific MHC class II antigen presentation |
Q33495403 | Structure-based substrate screening for an enzyme |
Q33657421 | Studies of metabolite-protein interactions: a review |
Q90138871 | Study of novel triazolo-benzodiazepine analogues as antidepressants targeting by molecular docking and ADMET properties prediction |
Q35898338 | Study of the Binding Energies between Unnatural Amino Acids and Engineered Orthogonal Tyrosyl-tRNA Synthetases |
Q50212993 | Study on Wangzaozin-A-Inducing Cancer Apoptosis and Its Theoretical Protein Targets. |
Q89983464 | Substrate Specific Inhibitor Designed against the Immunomodulator GMF-beta Reversed the Experimental Autoimmune Encephalomyelitis |
Q26823990 | Surfing the Protein-Protein Interaction Surface Using Docking Methods: Application to the Design of PPI Inhibitors |
Q47316545 | Symmetrical Parameterization of Rigid Body Transformations for Biomolecular Structures |
Q91845596 | Synergistic Effect of Chlorogenic Acid and Caffeic Acid with Fosfomycin on Growth Inhibition of a Resistant Listeria monocytogenes Strain |
Q92335202 | Synthesis and Evaluation of Anisomelic acid-like Compounds for the Treatment of HPV-Mediated Carcinomas |
Q34423599 | Synthesis and in silico screening of a library of β-carboline-containing compounds |
Q91933239 | Synthesis and preclinical validation of novel P2Y1 receptor ligands as a potent anti-prostate cancer agent |
Q99635133 | Synthesis, In Silico and In Vitro Evaluation for Acetylcholinesterase and BACE-1 Inhibitory Activity of Some N-Substituted-4-Phenothiazine-Chalcones |
Q46619467 | Synthesis, docking study and β-adrenoceptor activity of some new oxime ether derivatives. |
Q27683548 | Synthetic Inositol Phosphate Analogs Reveal that PPIP5K2 Has a Surface-Mounted Substrate Capture Site that Is a Target for Drug Discovery |
Q28478200 | Systematic exploitation of multiple receptor conformations for virtual ligand screening |
Q47250664 | Systematic exploration of multiple drug binding sites |
Q47122660 | Systematic, network-based characterization of therapeutic target inhibitors. |
Q38028544 | Systems biology visualization tools for drug target discovery |
Q26824166 | Systems pharmacology: network analysis to identify multiscale mechanisms of drug action |
Q30659554 | TEMPy: a Python library for assessment of three-dimensional electron microscopy density fits |
Q36844439 | TRITON: a graphical tool for ligand-binding protein engineering |
Q51038790 | TS-Chemscore, a Target-Specific Scoring Function, Significantly Improves the Performance of Scoring in Virtual Screening. |
Q30419540 | Tackling the challenges posed by target flexibility in drug design |
Q38669024 | Tailored-pharmacophore model to enhance virtual screening and drug discovery: a case study on the identification of potential inhibitors against drug-resistant Mycobacterium tuberculosis (3R)-hydroxyacyl-ACP dehydratases. |
Q34974340 | TarFisDock: a web server for identifying drug targets with docking approach |
Q37240137 | Target flexibility: an emerging consideration in drug discovery and design |
Q50855015 | Targeting Different Transthyretin Binding Sites with Unusual Natural Compounds. |
Q91718950 | Targeting SARS-CoV-2: A Systematic Drug Repurposing Approach to Identify Promising Inhibitors Against 3C-like Proteinase and 2'-O-RiboseMethyltransferase |
Q26862107 | Targeting UDP-galactopyranose mutases from eukaryotic human pathogens |
Q39967137 | Targeting historically refractory interfaces: a partnership model that accelerates drug discovery within an expanded haystack |
Q38995015 | Targeting of AMP-activated protein kinase: prospects for computer-aided drug design |
Q35542088 | Targeting the cyclin-binding groove site to inhibit the catalytic activity of CDK2/cyclin A complex using p27(KIP1)-derived peptidomimetic inhibitors |
Q51061506 | Targeting the ubiquitin-conjugating enzyme E2D4 for cancer drug discovery-a structure-based approach. |
Q55270064 | The Active Components of Fuzheng Huayu Formula and Their Potential Mechanism of Action in Inhibiting the Hepatic Stellate Cells Viability - A Network Pharmacology and Transcriptomics Approach. |
Q39227466 | The Application of Modeling and Prediction to the Formation and Stability of Amorphous Solid Dispersions. |
Q42820594 | The Guareschi Pyridine Scaffold as a Valuable Platform for the Identification of Selective PI3K Inhibitors |
Q27676739 | The Impact of Introducing a Histidine into an Apolar Cavity Site on Docking and Ligand Recognition |
Q33740864 | The SAMPL4 host-guest blind prediction challenge: an overview. |
Q96641807 | The Se…S/N interactions as a possible mechanism of δ-aminolevulinic acid dehydratase enzyme inhibition by organoselenium compounds: A computational study |
Q51777326 | The basic concepts of molecular modeling. |
Q64934976 | The binding proximity of methyl β-lilacinobioside isolated from Caralluma retrospiciens with topoisomerase II attributes apoptosis in breast cancer cell line. |
Q34685403 | The discovery of aurora kinase inhibitor by multi-docking-based virtual screening |
Q89818305 | The fine art of preparing membrane transport proteins for biomolecular simulations: concepts and practical considerations |
Q37172414 | The gating charge pathway of an epilepsy-associated potassium channel accommodates chemical ligands |
Q42108604 | The importance of ARG513 as a hydrogen bond anchor to discover COX-2 inhibitors in a virtual screening campaign |
Q34061894 | The interprotein scoring noises in glide docking scores. |
Q42155548 | The measured and calculated affinity of methyl- and methoxy-substituted benzoquinones for the Q(A) site of bacterial reaction centers |
Q90447656 | The role of molecular modelling and simulation in the discovery and deployment of metal-organic frameworks for gas storage and separation |
Q38061633 | The role of molecular simulations in the development of inhibitors of amyloid β-peptide aggregation for the treatment of Alzheimer's disease |
Q42153004 | The role of stacking interactions in complexes of proteins with adenine and Guanine fragments of ligands |
Q45760136 | Theoretical insight into the mechanism for the inhibition of the cysteine protease cathepsin B by 1,2,4-thiadiazole derivatives |
Q41583585 | Theoretical insight into the structural mechanism for the binding of vinblastine with tubulin |
Q37943378 | Theoretical prediction of drug-receptor interactions |
Q36571477 | Thioredoxin system: a model for determining novel lead molecules for breast cancer chemotherapy. |
Q36199304 | Three-Dimensional Biologically Relevant Spectrum (BRS-3D): Shape Similarity Profile Based on PDB Ligands as Molecular Descriptors |
Q48344368 | Toll-like receptor 2 antagonists identified through virtual screening and experimental validation. |
Q38800365 | Tomographic docking suggests the mechanism of auxin receptor TIR1 selectivity |
Q96230372 | Toward Simple, Predictive Understanding of Protein-Ligand Interactions: Electronic Structure Calculations on Torpedo Californica Acetylcholinesterase Join Forces with the Chemist's Intuition |
Q34974784 | Toward a robust computational screening strategy for identifying glycosaminoglycan sequences that display high specificity for target proteins |
Q46203458 | Toward docking-based virtual screening for discovering antitubulin agents by targeting taxane and colchicine binding sites |
Q57009165 | Towards an Integrated Description of Hydrogen Bonding and Dehydration: Decreasing False Positives in Virtual Screening with the HYDE Scoring Function |
Q37014096 | Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go. |
Q34039203 | Towards the systematic exploration of chemical space |
Q51015281 | Trapping virtual pores by crystal retro-engineering. |
Q33273270 | TrixX: structure-based molecule indexing for large-scale virtual screening in sublinear time |
Q33271049 | Ultrafast de novo docking combining pharmacophores and combinatorics |
Q99608870 | Uncovering the Mechanism of the Effects of Pien-Tze-Huang on Liver Cancer Using Network Pharmacology and Molecular Docking |
Q90087460 | Understanding glycaemic control and current approaches for screening antidiabetic natural products from evidence-based medicinal plants |
Q57128348 | Understanding molecular mechanisms of Rhodiola rosea for the treatment of acute mountain sickness through computational approaches (a STROBE-compliant article) |
Q30373905 | Understanding the physical properties that control protein crystallization by analysis of large-scale experimental data. |
Q44194304 | Understanding traditional Chinese medicine anti-inflammatory herbal formulae by simulating their regulatory functions in the human arachidonic acid metabolic network |
Q33953010 | Use of allostery to identify inhibitors of calmodulin-induced activation of Bacillus anthracis edema factor. |
Q33940014 | Using free energy of binding calculations to improve the accuracy of virtual screening predictions |
Q36647386 | Using grid techniques for drug target identification |
Q42279211 | Using reverse docking to identify potential targets for ginsenosides. |
Q42278847 | VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization. |
Q33378588 | VSDMIP: virtual screening data management on an integrated platform. |
Q51083951 | Validation of a computational docking methodology to identify the non-covalent binding site of ligands to DNA. |
Q34001411 | ViewDock TDW: high-throughput visualization of virtual screening results |
Q46306239 | Virtual Screening Approach of Bacterial Peptide Deformylase Inhibitors Results in New Antibiotics. |
Q33502225 | Virtual Screening as a Technique for PPAR Modulator Discovery |
Q42227642 | Virtual Screening of Some Active Human Macrophage Migration Inhibitory Factor Antagonists |
Q34867648 | Virtual Screening with AutoDock: Theory and Practice |
Q57275083 | Virtual Screening: A Challenge for Deep Learning |
Q34368348 | Virtual fragment screening: exploration of MM-PBSA re-scoring |
Q33389195 | Virtual high throughput screening (vHTS)--a perspective |
Q33247681 | Virtual ligand screening: strategies, perspectives and limitations |
Q36305610 | Virtual screening applications in short-chain dehydrogenase/reductase research. |
Q51900328 | Virtual screening applications: a study of ligand-based methods and different structure representations in four different scenarios. |
Q28475016 | Virtual screening for HIV protease inhibitors: a comparison of AutoDock 4 and Vina |
Q41014450 | Virtual screening for high affinity guests for synthetic supramolecular receptors |
Q33834795 | Virtual screening for potential inhibitors of Mcl-1 conformations sampled by normal modes, molecular dynamics, and nuclear magnetic resonance |
Q58215959 | Virtual screening for potential inhibitors of bacterial MurC and MurD ligases |
Q42047834 | Virtual screening of acetylcholinesterase inhibitors using the Lipinski's rule of five and ZINC databank |
Q34626368 | Virtual screening of chemical libraries for drug discovery |
Q64899623 | Virtual screening of novel compounds as potential ER-alpha inhibitors. |
Q89236561 | Visualizing convolutional neural network protein-ligand scoring |
Q38897226 | Weak-binding molecules are not drugs?-toward a systematic strategy for finding effective weak-binding drugs. |
Q39942559 | Weighted equation and rules--a novel concept for evaluating protein-ligand interaction |
Q47684449 | Workflows and performances in the ranking prediction of 2016 D3R Grand Challenge 2: lessons learned from a collaborative effort |
Q30376887 | [Crystal structure of SMU.2055 protein from Streptococcus mutans and its small molecule inhibitors design and selection]. |
Q28596516 | dMM-PBSA: A New HADDOCK Scoring Function for Protein-Peptide Docking |
Q33826989 | iGEMDOCK: a graphical environment of enhancing GEMDOCK using pharmacological interactions and post-screening analysis |
Search more.