Statistical potential for modeling and ranking of protein-ligand interactions
about
Molecular docking and structure-based drug design strategiesCrystal structure of SsfS6, the putativeC-glycosyltransferase involved in SF2575 biosynthesisModBase, a database of annotated comparative protein structure models and associated resources.A Bayesian statistical approach of improving knowledge-based scoring functions for protein-ligand interactions.Extracting knowledge from protein structure geometryImproving AutoDock Vina Using Random Forest: The Growing Accuracy of Binding Affinity Prediction by the Effective Exploitation of Larger Data Sets.Molecular modeling and ligand docking for solute carrier (SLC) transportersRole of Serine140 in the mode of action of Mycobacterium tuberculosis β-ketoacyl-ACP Reductase (MabA)Prediction of substrates for glutathione transferases by covalent docking.Metagenomics reveals the high polycyclic aromatic hydrocarbon-degradation potential of abundant uncultured bacteria from chronically polluted subantarctic and temperate coastal marine environments.Error-prone pcr-based mutagenesis strategy for rapidly generating high-yield influenza vaccine candidates.Detecting the native ligand orientation by interfacial rigidity: SiteInterlock.Latest developments in molecular docking: 2010-2011 in review.Does a more precise chemical description of protein-ligand complexes lead to more accurate prediction of binding affinity?Aromatic interactions at the ligand-protein interface: Implications for the development of docking scoring functions.GeauxDock: A novel approach for mixed-resolution ligand docking using a descriptor-based force field.The Movable Type Method Applied to Protein-Ligand BindingEvaluation of 11 scoring functions performance on matrix metalloproteinases.Development of the knowledge-based and empirical combined scoring algorithm (KECSA) to score protein-ligand interactions.Integrative structure modeling with the Integrative Modeling Platform.GaudiMM: A modular multi-objective platform for molecular modeling.Optimized atomic statistical potentials: assessment of protein interfaces and loops.Yada: a novel tool for molecular docking calculations.Coarse-graining strategy for molecular pair interactions: A reaction coordinate study for two- and three-dimensional systems.
P2860
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P2860
Statistical potential for modeling and ranking of protein-ligand interactions
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Statistical potential for modeling and ranking of protein-ligand interactions
@ast
Statistical potential for modeling and ranking of protein-ligand interactions
@en
type
label
Statistical potential for modeling and ranking of protein-ligand interactions
@ast
Statistical potential for modeling and ranking of protein-ligand interactions
@en
prefLabel
Statistical potential for modeling and ranking of protein-ligand interactions
@ast
Statistical potential for modeling and ranking of protein-ligand interactions
@en
P2860
P50
P356
P1476
Statistical potential for modeling and ranking of protein-ligand interactions
@en
P2093
Guangqiang Dong
P2860
P304
P356
10.1021/CI200377U
P577
2011-11-21T00:00:00Z