Contacts-based prediction of binding affinity in protein-protein complexes.
about
Protein social behavior makes a stronger signal for partner identification than surface geometryThe structural bioinformatics library: modeling in biomolecular science and beyond.Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking.Rational design of DKK3 structure-based small peptides as antagonists of Wnt signaling pathway and in silico evaluation of their efficiencyNovel Structural Parameters of Ig-Ag Complexes Yield a Quantitative Description of Interaction Specificity and Binding Affinity.Performance of HADDOCK and a simple contact-based protein-ligand binding affinity predictor in the D3R Grand Challenge 2.An unexpected way forward: towards a more accurate and rigorous protein-protein binding affinity scoring function by eliminating terms from an already simple scoring function.Coevolutionary constraints in the sequence-space of macromolecular complexes reflect their self-assembly pathways.Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes.A machine learning approach for ranking clusters of docked protein-protein complexes by pairwise cluster comparison.High-resolution crystal structure of the therapeutic antibody pembrolizumab bound to the human PD-1Exploring the interplay between experimental methods and the performance of predictors of binding affinity change upon mutations in protein complexes.Understanding Insulin Endocrinology in Decapod Crustacea: Molecular Modelling Characterization of an Insulin-Binding Protein and Insulin-Like Peptides in the Eastern Spiny Lobster, Sagmariasus verreauxi.On the mechanisms of protein interactions: predicting their affinity from unbound tertiary structures.Emerging Concepts in TCR Specificity: Rationalizing and (Maybe) Predicting Outcomes.Update of the ATTRACT force field for the prediction of protein-protein binding affinity.Combined Experimental and Computational Approaches Reveal Distinct pH Dependence of Pectin Methylesterase Inhibitors.Accurate Structure Prediction of CDR H3 Loops Enabled by a Novel Structure-Based C-Terminal Constraint.Binding affinity prediction of nanobody-protein complexes by scoring of molecular dynamics trajectories.PRODIGY: a web server for predicting the binding affinity of protein-protein complexes.DisruPPI: structure-based computational redesign algorithm for protein binding disruption.Predicting improved protein conformations with a temporal deep recurrent neural network
P2860
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P2860
Contacts-based prediction of binding affinity in protein-protein complexes.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Contacts-based prediction of binding affinity in protein-protein complexes.
@en
type
label
Contacts-based prediction of binding affinity in protein-protein complexes.
@en
prefLabel
Contacts-based prediction of binding affinity in protein-protein complexes.
@en
P2860
P356
P1433
P1476
Contacts-based prediction of binding affinity in protein-protein complexes.
@en
P2860
P304
P356
10.7554/ELIFE.07454
P407
P577
2015-07-20T00:00:00Z