Predicting protein interface residues using easily accessible on-line resources.
about
Local Geometry and Evolutionary Conservation of Protein Surfaces Reveal the Multiple Recognition Patches in Protein-Protein InteractionsAre protein-protein interfaces special regions on a protein's surface?Predicted binding site information improves model ranking in protein docking using experimental and computer-generated target structures.Physiological Consequences of Compartmentalized Acyl-CoA Metabolism.Elucidating the druggable interface of protein-protein interactions using fragment docking and coevolutionary analysis.Review and comparative assessment of sequence-based predictors of protein-binding residues.Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes.A hybrid method for protein-protein interface prediction.DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues.Structure-based prediction of ligand-protein interactions on a genome-wide scale.Different protein-protein interface patterns predicted by different machine learning methods.Protein-protein interaction specificity is captured by contact preferences and interface composition.Exploring the potential of 3D Zernike descriptors and SVM for protein-protein interface prediction.Interactome INSIDER: a structural interactome browser for genomic studies.Identification and visualization of protein binding regions with the ArDock server.
P2860
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P2860
Predicting protein interface residues using easily accessible on-line resources.
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
Predicting protein interface residues using easily accessible on-line resources.
@en
type
label
Predicting protein interface residues using easily accessible on-line resources.
@en
prefLabel
Predicting protein interface residues using easily accessible on-line resources.
@en
P2860
P356
P1476
Predicting protein interface residues using easily accessible on-line resources
@en
P2093
Michal Brylinski
Surabhi Maheshwari
P2860
P304
P356
10.1093/BIB/BBV009
P577
2015-03-21T00:00:00Z