scholarly article | Q13442814 |
P50 | author | Ruth Brenk | Q50638394 |
P2093 | author name string | Brian K Shoichet | |
Alan P Graves | |||
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A new target for shigellosis: rational design and crystallographic studies of inhibitors of tRNA-guanine transglycosylase | Q27629578 | ||
Combinatorial computational method gives new picomolar ligands for a known enzyme | Q27637537 | ||
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Structure-based discovery of a novel, noncovalent inhibitor of AmpC beta-lactamase | Q27639372 | ||
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Energetic origins of specificity of ligand binding in an interior nonpolar cavity of T4 lysozyme | Q71881818 | ||
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Protein docking using continuum electrostatics and geometric fit | Q73739194 | ||
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A model binding site for testing scoring functions in molecular docking | Q27639604 | ||
A cavity-containing mutant of T4 lysozyme is stabilized by buried benzene | Q27643869 | ||
Application of crystallographic and modeling methods in the design of purine nucleoside phosphorylase inhibitors | Q27646682 | ||
UCSF Chimera--a visualization system for exploratory research and analysis | Q27860666 | ||
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Energy functions that discriminate X-ray and near native folds from well-constructed decoys | Q28278562 | ||
Structure-based design of nonpeptide inhibitors specific for the human immunodeficiency virus 1 protease | Q28331230 | ||
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How to generate improved potentials for protein tertiary structure prediction: a lattice model study. | Q30327152 | ||
Discovery of novel aldose reductase inhibitors using a protein structure-based approach: 3D-database search followed by design and synthesis. | Q30328211 | ||
How to derive a protein folding potential? A new approach to an old problem | Q30426274 | ||
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Structure-Based Generation of a New Class of Potent Cdk4 Inhibitors: Newde NovoDesign Strategy and Library Design | Q30777277 | ||
Detailed analysis of scoring functions for virtual screening | Q30985789 | ||
Molecular docking and high-throughput screening for novel inhibitors of protein tyrosine phosphatase-1B. | Q31057078 | ||
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Novel inhibitors of DNA gyrase: 3D structure based biased needle screening, hit validation by biophysical methods, and 3D guided optimization. A promising alternative to random screening | Q31406783 | ||
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Deciphering common failures in molecular docking of ligand-protein complexes. | Q38305525 | ||
Context-dependent protein stabilization by methionine-to-leucine substitution shown in T4 lysozyme | Q39115801 | ||
Modelling of factor Xa-inhibitor complexes: a computational flexible docking approach | Q41607225 | ||
Information decay in molecular docking screens against holo, apo, and modeled conformations of enzymes | Q42602259 | ||
Docking molecules by families to increase the diversity of hits in database screens: computational strategy and experimental evaluation | Q43512278 | ||
Inhibitors of dihydrodipicolinate reductase, a key enzyme of the diaminopimelate pathway of Mycobacterium tuberculosis. | Q43600476 | ||
Comparative evaluation of 11 scoring functions for molecular docking | Q44457437 | ||
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Matching chemistry and shape in molecular docking | Q44625089 | ||
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P433 | issue | 11 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 3714-3728 | |
P577 | publication date | 2005-06-01 | |
P1433 | published in | Journal of Medicinal Chemistry | Q900316 |
P1476 | title | Decoys for docking | |
P478 | volume | 48 |
Q48063202 | Absolute Binding Free Energies between T4 Lysozyme and 141 Small Molecules: Calculations Based on Multiple Rigid Receptor Configurations. |
Q30427576 | Alchemical free energy methods for drug discovery: progress and challenges |
Q28256939 | Automated docking screens: a feasibility study |
Q37348271 | Automated site preparation in physics-based rescoring of receptor ligand complexes |
Q29619637 | Benchmarking sets for molecular docking |
Q37372747 | Binding of small-molecule ligands to proteins: "what you see" is not always "what you get". |
Q30362300 | Bringing Clarity to the Prediction of Protein-Ligand Binding Free Energies via "Blurring" |
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 |
Q28268675 | Community benchmarks for virtual screening |
Q35748554 | DOCK 6: Impact of new features and current docking performance |
Q42189457 | Density functional theory calculations on entire proteins for free energies of binding: application to a model polar binding site |
Q33323614 | Differentiation of AmpC beta-lactamase binders vs. decoys using classification kNN QSAR modeling and application of the QSAR classifier to virtual screening |
Q42251037 | Directory of useful decoys, enhanced (DUD-E): better ligands and decoys for better benchmarking |
Q30380679 | Docking screens: right for the right reasons? |
Q33250369 | Electrostatic evaluation of isosteric analogues |
Q41680386 | Ergot alkaloids: From witchcraft till in silico analysis. Multi-receptor analysis of ergotamine metabolites. |
Q24656051 | Identification of xenoestrogens in food additives by an integrated in silico and in vitro approach |
Q30409188 | Identifying ligand binding sites and poses using GPU-accelerated Hamiltonian replica exchange molecular dynamics |
Q33850040 | Improving VEGFR-2 Docking-Based Screening by Pharmacophore Postfiltering and Similarity Search Postprocessing |
Q37565924 | Lessons Learned over Four Benchmark Exercises from the Community Structure-Activity Resource |
Q42106721 | On the use of orientational restraints and symmetry corrections in alchemical free energy calculations |
Q58846278 | POSE SCALING: GEOMETRICAL ASSESSMENT OF LIGAND BINDING POSES |
Q30422862 | Perspective: Alchemical free energy calculations for drug discovery |
Q39235195 | Predicting Binding Free Energies: Frontiers and Benchmarks |
Q27657572 | Predicting Ligand Binding Affinity with Alchemical Free Energy Methods in a Polar Model Binding Site |
Q24683618 | Predicting absolute ligand binding free energies to a simple model site |
Q34516171 | Probing molecular docking in a charged model binding site |
Q28536035 | Protein-protein interactions in a crowded environment: an analysis via cross-docking simulations and evolutionary information |
Q36243073 | Recent theoretical and computational advances for modeling protein-ligand binding affinities |
Q48050957 | Relative Binding Free Energy Calculations Applied to Protein Homology Models |
Q27649874 | Rescoring Docking Hit Lists for Model Cavity Sites: Predictions and Experimental Testing |
Q27679166 | Roles for Ordered and Bulk Solvent in Ligand Recognition and Docking in Two Related Cavities |
Q41081254 | Sensitivity in Binding Free Energies Due to Protein Reorganization |
Q35794917 | Statistical mechanics and molecular dynamics in evaluating thermodynamic properties of biomolecular recognition |
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Q42958865 | Synthesis and preliminary evaluation of the antimicrobial activity of selected 3-benzofurancarboxylic acid derivatives. |
Q64251177 | Synthesis of New Derivatives of Benzofuran as Potential Anticancer Agents |
Q34352706 | The Binding Energy Distribution Analysis Method (BEDAM) for the Estimation of Protein-Ligand Binding Affinities |
Q38782563 | The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual Screening. |
Q47261847 | Using the fast fourier transform in binding free energy calculations |
Q33247681 | Virtual ligand screening: strategies, perspectives and limitations |
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