A feature-based approach to modeling protein-protein interaction hot spots.
about
Predicting where small molecules bind at protein-protein interfacesCharacterizing 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.Accurate prediction of protein relative solvent accessibility using a balanced model.Modeling allosteric signal propagation using protein structure networksPrediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methodsPrediction of protein-protein interaction sites using an ensemble method.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.PredHS: a web server for predicting protein-protein interaction hot spots by using structural neighborhood properties.DBAC: a simple prediction method for protein binding hot spots based on burial levels and deeply buried atomic contacts.Rigorous assessment and integration of the sequence and structure based features to predict hot spots.Computational alanine scanning with linear scaling semiempirical quantum mechanical methods.Small-molecule inhibitor starting points learned from protein-protein interaction inhibitor structure.From laptop to benchtop to bedside: structure-based drug design on protein targets.A semi-supervised boosting SVM for predicting hot spots at protein-protein interfacesBeta atomic contacts: identifying critical specific contacts in protein binding interfaces.Hot spots in a network of functional sites.Integrating water exclusion theory into β contacts to predict binding free energy changes and binding hot spotsStructural neighboring property for identifying protein-protein binding sites.Co-Occurring Atomic Contacts for the Characterization of Protein Binding Hot SpotsPPCheck: 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.Relationship between hot spot residues and ligand binding hot spots in protein-protein interfaces.PredPhos: an ensemble framework for structure-based prediction of phosphorylation sitesPredicting hot spots in protein interfaces based on protrusion index, pseudo hydrophobicity and electron-ion interaction pseudopotential features.Boosting prediction performance of protein-protein interaction hot spots by using structural neighborhood propertiesAPOBEC3G oligomerization is associated with the inhibition of both Alu and LINE-1 retrotranspositionIdentification of Hot Spots in Protein Structures Using Gaussian Network Model and Gaussian Naive Bayes.Functional analysis and structural modeling of human APOBEC3G reveal the role of evolutionarily conserved elements in the inhibition of human immunodeficiency virus type 1 infection and Alu transposition.Computational prediction of protein hot spot residues.HotPoint: hot spot prediction server for protein interfaces.AB-Bind: Antibody binding mutational database for computational affinity predictions.A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.Prediction of Protein Hotspots from Whole Protein Sequences by a Random Projection Ensemble System.A new scoring function for protein-protein docking that identifies native structures with unprecedented accuracy.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.
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A feature-based approach to modeling protein-protein interaction hot spots.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 09 March 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
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name
A feature-based approach to modeling protein-protein interaction hot spots.
@en
A feature-based approach to modeling protein-protein interaction hot spots.
@nl
type
label
A feature-based approach to modeling protein-protein interaction hot spots.
@en
A feature-based approach to modeling protein-protein interaction hot spots.
@nl
prefLabel
A feature-based approach to modeling protein-protein interaction hot spots.
@en
A feature-based approach to modeling protein-protein interaction hot spots.
@nl
P2860
P356
P1476
A feature-based approach to modeling protein-protein interaction hot spots
@en
P2093
Dongsup Kim
Kyu-il Cho
P2860
P304
P356
10.1093/NAR/GKP132
P407
P50
P577
2009-03-09T00:00:00Z