Quantitative prediction of protein-protein binding affinity with a potential of mean force considering volume correction.
about
Potentials of mean force for protein structure prediction vindicated, formalized and generalizedA structure-based benchmark for protein-protein binding affinityOptimizing scoring function of protein-nucleic acid interactions with both affinity and specificity.DECK: Distance and environment-dependent, coarse-grained, knowledge-based potentials for protein-protein docking.Kinetic rate constant prediction supports the conformational selection mechanism of protein binding.ROTAS: a rotamer-dependent, atomic statistical potential for assessment and prediction of protein structuresHow structure defines affinity in protein-protein interactions.Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.Advances in the prediction of protein-peptide binding affinities: implications for peptide-based drug discovery.On the binding affinity of macromolecular interactions: daring to ask why proteins interact.Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes.Contacts-based prediction of binding affinity in protein-protein complexes.Prediction of protein-protein binding free energies.On the mechanisms of protein interactions: predicting their affinity from unbound tertiary structures.Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches.Incorporating specificity into optimization: evaluation of SPA using CSAR 2014 and CASF 2013 benchmarks.Optimizing the affinity and specificity of ligand binding with the inclusion of solvation effect.Structure-based prediction of protein-protein binding affinity with consideration of allosteric effect.PRODIGY: a web server for predicting the binding affinity of protein-protein complexes.A Multiscale Computational Model for Simulating the Kinetics of Protein Complex Assembly.Next challenges in protein-protein docking: from proteome to interactome and beyond
P2860
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P2860
Quantitative prediction of protein-protein binding affinity with a potential of mean force considering volume correction.
description
2009 nî lūn-bûn
@nan
2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի դեկտեմբերին 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
Quantitative prediction of pro ...... considering volume correction.
@ast
Quantitative prediction of pro ...... considering volume correction.
@en
type
label
Quantitative prediction of pro ...... considering volume correction.
@ast
Quantitative prediction of pro ...... considering volume correction.
@en
prefLabel
Quantitative prediction of pro ...... considering volume correction.
@ast
Quantitative prediction of pro ...... considering volume correction.
@en
P2093
P2860
P356
P1433
P1476
Quantitative prediction of pro ...... considering volume correction.
@en
P2093
P2860
P304
P356
10.1002/PRO.257
P577
2009-12-01T00:00:00Z