Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods
about
Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organizationInterolog interfaces in protein-protein dockingECMIS: computational approach for the identification of hotspots at protein-protein interfaces.Algorithmic approaches to protein-protein interaction site prediction.APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.Predictions of hot spot residues at protein-protein interfaces using support vector machines.DBAC: a simple prediction method for protein binding hot spots based on burial levels and deeply buried atomic contacts.ANCHOR: a web server and database for analysis of protein-protein interaction binding pockets for drug discovery.Rigorous assessment and integration of the sequence and structure based features to predict hot spots.Small-molecule inhibitor starting points learned from protein-protein interaction inhibitor structure.A semi-supervised boosting SVM for predicting hot spots at protein-protein interfacesMapping and characterization of the interaction interface between two polypyrimidine-tract binding proteins and a nova-type protein of Solanum tuberosum.Identification of an anchor residue for CheA-CheY interactions in the chemotaxis system of Escherichia coli.Antibody Binding Selectivity: Alternative Sets of Antigen Residues Entail High-Affinity Recognition.Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving TropismPPCheck: A Webserver for the Quantitative Analysis of Protein-Protein Interfaces and Prediction of Residue HotspotsPocketQuery: protein-protein interaction inhibitor starting points from protein-protein interaction structure.Glutamine Synthetase Drugability beyond Its Active Site: Exploring Oligomerization Interfaces and Pockets.The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited DiseaseA compound-based computational approach for the accurate determination of hot spotsComputational prediction of protein hot spot residues.HotPoint: hot spot prediction server for protein interfaces.Prediction of Protein Hotspots from Whole Protein Sequences by a Random Projection Ensemble System.DrugScorePPI webserver: fast and accurate in silico alanine scanning for scoring protein-protein interactionsBeAtMuSiC: Prediction of changes in protein-protein binding affinity on mutations.A computational tool to predict the evolutionarily conserved protein-protein interaction hot-spot residues from the structure of the unbound protein.Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences.AUTO-MUTE: web-based tools for predicting stability changes in proteins due to single amino acid replacements.Protein-protein interface hot spots prediction based on a hybrid feature selection strategy.Crucial importance of the water-entropy effect in predicting hot spots in protein-protein complexes.KFC2: a knowledge-based hot spot prediction method based on interface solvation, atomic density, and plasticity features.Heterodimer Binding Scaffolds Recognition via the Analysis of Kinetically Hot Residues.Design of human granzyme B variants resistant to serpin B9Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient BoostingPPInS: a repository of protein-protein interaction sitesbase
P2860
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P2860
Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods
description
2009 nî lūn-bûn
@nan
2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Prediction of hot spot residue ...... rning and energy-based methods
@ast
Prediction of hot spot residue ...... rning and energy-based methods
@en
Prediction of hot spot residue ...... ning and energy-based methods.
@nl
type
label
Prediction of hot spot residue ...... rning and energy-based methods
@ast
Prediction of hot spot residue ...... rning and energy-based methods
@en
Prediction of hot spot residue ...... ning and energy-based methods.
@nl
prefLabel
Prediction of hot spot residue ...... rning and energy-based methods
@ast
Prediction of hot spot residue ...... rning and energy-based methods
@en
Prediction of hot spot residue ...... ning and energy-based methods.
@nl
P2093
P2860
P356
P1433
P1476
Prediction of hot spot residue ...... rning and energy-based methods
@en
P2093
Cedric Archambeau
David T Jones
Massimiliano Pontil
P2860
P2888
P356
10.1186/1471-2105-10-365
P50
P577
2009-10-30T00:00:00Z
P5875
P6179
1023609032