scholarly article | Q13442814 |
P356 | DOI | 10.3390/IJMS12021196 |
P8608 | Fatcat ID | release_uon6kq32mzgrtd27txsdkk3j24 |
P932 | PMC publication ID | 3083700 |
P698 | PubMed publication ID | 21541053 |
P5875 | ResearchGate publication ID | 51096864 |
P2093 | author name string | Yan Li | |
Jing Liu | |||
Zhengtao Xiao | |||
Shuwei Zhang | |||
Chunzhi Ai | |||
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The role of central dopamine D3 receptors in drug addiction: a review of pharmacological evidence | Q81860473 | ||
Atomic physicochemical parameters for three dimensional structure directed quantitative structure-activity relationships. 4. Additional parameters for hydrophobic and dispersive interactions and their application for an automated superposition of ... | Q108523054 | ||
A combination of 3D-QSAR, docking, local-binding energy (LBE) and GRID study of the species differences in the carcinogenicity of benzene derivatives chemicals | Q46582761 | ||
New fused benzazepine as selective D3 receptor antagonists. Synthesis and biological evaluation. Part one: [h]-fused tricyclic systems | Q46772537 | ||
New fused benzazepine as selective D3 receptor antagonists. Synthesis and biological evaluation. Part 2: [g]-fused and hetero-fused systems | Q46820906 | ||
A theoretical study to investigate D2DAR/D4DAR selectivity: receptor modeling and molecular docking of dopaminergic ligands. | Q46945976 | ||
Development of CoMFA, advance CoMFA and CoMSIA models in pyrroloquinazolines as thrombin receptor antagonist | Q47372380 | ||
ESyPred3D: Prediction of proteins 3D structures. | Q48622625 | ||
Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens. | Q51917290 | ||
Ranking of aquatic toxicity of esters modelled by QSAR. | Q51981355 | ||
Evidence for antagonist activity of the dopamine D3 receptor partial agonist, BP 897, at human dopamine D3 receptor. | Q52279029 | ||
Simple Method of Calculating Octanol/Water Partition Coefficient | Q56431664 | ||
CoMFA and CoMSIA investigations of dopamine D3 receptor ligands leading to the prediction, synthesis, and evaluation of rigidized FAUC 365 analogues | Q57799424 | ||
An automatic homology modeling method consisting of database searches and simulated annealing | Q58451373 | ||
Investigation on QSAR and binding mode of a new class of human rhinovirus-14 inhibitors by CoMFA and docking experiments | Q62857263 | ||
Studies of 3D-quantitative structure-activity relationships on a set of nitroaromatic compounds: CoMFA, advanced CoMFA and CoMSIA | Q74680773 | ||
ELECTRONIC STRUCTURE OF THE ALPHA-AMINO ACIDS OF PROTEINS. I. CHARGE DISTRIBUTIONS AND PROTON CHEMICAL SHIFTS | Q76620221 | ||
SuperPose: a simple server for sophisticated structural superposition | Q24562032 | ||
PROCHECK: a program to check the stereochemical quality of protein structures | Q26778411 | ||
Crystal structure of rhodopsin: A G protein-coupled receptor | Q27625972 | ||
The Amber biomolecular simulation programs | Q27860745 | ||
Iterative partial equalization of orbital electronegativity—a rapid access to atomic charges | Q28096294 | ||
Interactive SAR studies: rational discovery of super-potent and highly selective dopamine D3 receptor antagonists and partial agonists | Q28205250 | ||
Molecular cloning and characterization of a novel dopamine receptor (D3) as a target for neuroleptics | Q28258681 | ||
Effect of the selective dopamine D3 receptor antagonist SB-277011-A on regional c-Fos-like expression in rat forebrain | Q28294618 | ||
Mechanism of microRNA-target interaction: molecular dynamics simulations and thermodynamics analysis | Q28474948 | ||
Beware of q2! | Q28842863 | ||
Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes | Q29397708 | ||
A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations | Q29547632 | ||
Development and testing of a general amber force field | Q29547642 | ||
Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation | Q29617869 | ||
Utility of homology models in the drug discovery process. | Q30342415 | ||
Novel 2,3,4,5-tetrahydro-1H-3-benzazepines with high affinity and selectivity for the dopamine D3 receptor | Q31586285 | ||
Structure-activity relationships of multidrug resistance reversers | Q34204463 | ||
In silico prediction of estrogen receptor subtype binding affinity and selectivity using statistical methods and molecular docking with 2-arylnaphthalenes and 2-arylquinolines | Q34205634 | ||
Aminotetralin drugs and D3 receptor functions. What may partially selective D3 receptor ligands tell us about dopamine D3 receptor functions? | Q34392651 | ||
A combined approach of docking and 3D QSAR study of beta-ketoacyl-acyl carrier protein synthase III (FabH) inhibitors | Q34465894 | ||
Insight into the structural requirements of proton pump inhibitors based on CoMFA and CoMSIA studies | Q34803680 | ||
Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach | Q36477542 | ||
DAT/SERT selectivity of flexible GBR 12909 analogs modeled using 3D-QSAR methods | Q36484691 | ||
The structural evolution of dopamine D3 receptor ligands: structure-activity relationships and selected neuropharmacological aspects | Q36564340 | ||
Selective dopamine D3 receptor antagonists: a review 2001-2005. | Q37067409 | ||
Molecular fields in drug discovery: getting old or reaching maturity? | Q37371122 | ||
Studies of benzothiadiazine derivatives as hepatitis C virus NS5B polymerase inhibitors using 3D-QSAR, molecular docking and molecular dynamics | Q42998095 | ||
Design and synthesis of novel 2,3-dihydro-1H-isoindoles with high affinity and selectivity for the dopamine D3 receptor. | Q43552114 | ||
Analysis of binding residues between scorpion neurotoxins and D2 dopamine receptor: a computational docking study | Q44057957 | ||
Molecular modeling of the three-dimensional structure of dopamine 3 (D3) subtype receptor: discovery of novel and potent D3 ligands through a hybrid pharmacophore- and structure-based database searching approach. | Q44604114 | ||
3D-QSAR study on atmospheric half-lives of POPs using CoMFA and CoMSIA. | Q44739441 | ||
3D-QSAR CoMFA, CoMSIA studies on substituted ureas as Raf-1 kinase inhibitors and its confirmation with structure-based studies | Q45158348 | ||
Modeling the similarity and divergence of dopamine D2-like receptors and identification of validated ligand-receptor complexes | Q45249701 | ||
Insight into the effects of chiral isomers quinidine and quinine on CYP2D6 inhibition | Q46185951 | ||
The role of QSAR in dopamine interactions | Q46420338 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 2 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 1196-1221 | |
P577 | publication date | 2011-02-18 | |
P1433 | published in | International Journal of Molecular Sciences | Q3153277 |
P1476 | title | Studies of new fused benzazepine as selective dopamine D3 receptor antagonists using 3D-QSAR, molecular docking and molecular dynamics | |
P478 | volume | 12 |
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