Comprehensive identification of "druggable" protein ligand binding sites.
about
Specific small molecule inhibitors of Skp2-mediated p27 degradationComparative surface geometry of the protein kinase familyTamoxifen enhances the Hsp90 molecular chaperone ATPase activityBinding-site assessment by virtual fragment screeningA structure-based approach for mapping adverse drug reactions to the perturbation of underlying biological pathwaysPublic domain databases for medicinal chemistryA robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand binding sitesPocketPicker: analysis of ligand binding-sites with shape descriptors.A simple method for finding a protein's ligand-binding pockets.AutoSite: an automated approach for pseudo-ligands prediction-from ligand-binding sites identification to predicting key ligand atoms.Molecular motions as a drug target: mechanistic simulations of anthrax toxin edema factor function led to the discovery of novel allosteric inhibitors.A new protein-ligand binding sites prediction method based on the integration of protein sequence conservation information.Prediction of functional sites based on the fuzzy oil drop modelPrediction of potential drug targets based on simple sequence properties.Wrenches in the works: drug discovery targeting the SCF ubiquitin ligase and APC/C complexes.Fpocket: an open source platform for ligand pocket detection.VASP: a volumetric analysis of surface properties yields insights into protein-ligand binding specificity.KVFinder: steered identification of protein cavities as a PyMOL plugin.Use of allostery to identify inhibitors of calmodulin-induced activation of Bacillus anthracis edema factor.Small molecule inhibitors of Bacillus anthracis protective antigen proteolytic activation and oligomerization.On the specificity of heparin/heparan sulfate binding to proteins. Anion-binding sites on antithrombin and thrombin are fundamentally different.Development of 7TM receptor-ligand complex models using ligand-biased, semi-empirical helix-bundle repacking in torsion space: application to the agonist interaction of the human dopamine D2 receptor.Comparison of different ranking methods in protein-ligand binding site prediction.Multi-algorithm and multi-model based drug target prediction and web server.Pocket-based drug design: exploring pocket spaceScreening Outside the Catalytic Site: Inhibition of Macromolecular Inter-actions Through Structure-Based Virtual Ligand Screening Experiments.Differences between high- and low-affinity complexes of enzymes and nonenzymes.Catalytic residues in hydrolases: analysis of methods designed for ligand-binding site prediction.Protein surface representation and analysis by dimension reduction.Quantifying the chemical beauty of drugs.
P2860
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P2860
Comprehensive identification of "druggable" protein ligand binding sites.
description
2004 nî lūn-bûn
@nan
2004 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Comprehensive identification of "druggable" protein ligand binding sites.
@ast
Comprehensive identification of "druggable" protein ligand binding sites.
@en
type
label
Comprehensive identification of "druggable" protein ligand binding sites.
@ast
Comprehensive identification of "druggable" protein ligand binding sites.
@en
prefLabel
Comprehensive identification of "druggable" protein ligand binding sites.
@ast
Comprehensive identification of "druggable" protein ligand binding sites.
@en
P2093
P1476
Comprehensive identification of "druggable" protein ligand binding sites
@en
P2093
Jianghong An
Maxim Totrov
Ruben Abagyan
P577
2004-01-01T00:00:00Z