Compound activity prediction using models of binding pockets or ligand properties in 3D.
about
Leveraging structure for enzyme function prediction: methods, opportunities, and challengesStructural biology. Crystal structure of the chemokine receptor CXCR4 in complex with a viral chemokineBioGPS: The Music for the Chemo- and Bioinformatics Walzer.In silico identification and pharmacological evaluation of novel endocrine disrupting chemicals that act via the ligand-binding domain of the estrogen receptor α.Stoichiometry and geometry of the CXC chemokine receptor 4 complex with CXC ligand 12: molecular modeling and experimental validation.Experiment-Guided Molecular Modeling of Protein-Protein Complexes Involving GPCRsK-Ras4B/calmodulin/PI3Kα: A promising new adenocarcinoma-specific drug target?Docking to multiple pockets or ligand fields for screening, activity prediction and scaffold hopping.Prediction of ProteinProtein Interaction Pocket Using L-Shaped PLS Approach and Its Visualizations by Generative Topographic Mapping.Quantum Mechanics Approaches to Drug Research in the Era of Structural ChemogenomicsStructure-based predictions of activity cliffs.Drug-Like Protein-Protein Interaction Modulators: Challenges and Opportunities for Drug Discovery and Chemical Biology.Molecular modeling and docking studies of the oxytocin receptor.
P2860
Q26820871-D03A24E1-D1BC-431A-BFBC-CFD237ABFF0EQ28910426-304A95A8-CB33-4914-AADA-BA04CC920DC3Q30391391-DFF554B9-E3CF-44DB-8A5F-61AC2B8A45B7Q34737042-2A849F50-4A6A-49DA-A6DB-97A94C55A137Q34752104-93B56CEA-2F55-47A2-84CE-85C31750D2B5Q36001149-30C4DAB2-736C-4EFC-9D9E-CCC0B2A16D92Q38731776-00956262-BF54-4D82-97B8-89B036F38A7CQ39096521-5B64B4A7-B003-4184-BBE0-2EEF17E1CB4EQ39531827-BADA732C-37BA-4675-B9D4-05B43B779756Q42107113-9638048C-B45B-495B-8E4A-457EE8F0AEC2Q42121557-82F1591B-9C37-4F44-997C-98B057642F66Q42701435-0381C75A-D1CC-4AED-A86D-8309846A6CEBQ47298705-C0DB260C-313F-4EF2-A73E-C812F1646DBE
P2860
Compound activity prediction using models of binding pockets or ligand properties in 3D.
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Compound activity prediction using models of binding pockets or ligand properties in 3D.
@ast
Compound activity prediction using models of binding pockets or ligand properties in 3D.
@en
type
label
Compound activity prediction using models of binding pockets or ligand properties in 3D.
@ast
Compound activity prediction using models of binding pockets or ligand properties in 3D.
@en
prefLabel
Compound activity prediction using models of binding pockets or ligand properties in 3D.
@ast
Compound activity prediction using models of binding pockets or ligand properties in 3D.
@en
P2860
P1476
Compound activity prediction using models of binding pockets or ligand properties in 3D.
@en
P2093
Andrey V Ilatovskiy
Yu-Chen Chen
P2860
P304
P356
10.2174/156802612804547335
P577
2012-01-01T00:00:00Z