Improved prediction of critical residues for protein function based on network and phylogenetic analyses.
about
Systematically differentiating functions for alternatively spliced isoforms through integrating RNA-seq dataNovel knowledge-based mean force potential at the profile levelSmall world network strategies for studying protein structures and binding.How accurate and statistically robust are catalytic site predictions based on closeness centrality?Efficient identification of critical residues based only on protein structure by network analysis.Computer-based screening of functional conformers of proteins.Optimized null model for protein structure networks.Modeling allosteric signal propagation using protein structure networksProtein structure based prediction of catalytic residuesThe effect of edge definition of complex networks on protein structure identification.Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins.Ligand binding and circular permutation modify residue interaction network in DHFR.Fast dynamics perturbation analysis for prediction of protein functional sites.Detection of protein catalytic residues at high precision using local network properties.How to identify essential genes from molecular networks?Exploiting structural and topological information to improve prediction of RNA-protein binding sites.SitesIdentify: a protein functional site prediction tool.Knowledge-based annotation of small molecule binding sites in proteins.Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features.Quality control test for sequence-phenotype assignmentsPVS: a web server for protein sequence variability analysis tuned to facilitate conserved epitope discovery.Mapping networks of light-dark transition in LOV photoreceptors.Contact rearrangements form coupled networks from local motions in allosteric proteins.Cutoff lensing: predicting catalytic sites in enzymes.Graph analysis of β2 adrenergic receptor structures: a "social network" of GPCR residues.NAPS: Network Analysis of Protein Structures.Revealing unique properties of the ribosome using a network based analysis.Role of highly central residues of P-loop and it's flanking region in preserving the archetypal conformation of Walker A motif of diverse P-loop NTPases.Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein Structure.Global computational mutagenesis provides a critical stability framework in protein structures.
P2860
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P2860
Improved prediction of critical residues for protein function based on network and phylogenetic analyses.
description
2005 nî lūn-bûn
@nan
2005 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Improved prediction of critica ...... work and phylogenetic analyses
@nl
Improved prediction of critica ...... ork and phylogenetic analyses.
@ast
Improved prediction of critica ...... ork and phylogenetic analyses.
@en
type
label
Improved prediction of critica ...... work and phylogenetic analyses
@nl
Improved prediction of critica ...... ork and phylogenetic analyses.
@ast
Improved prediction of critica ...... ork and phylogenetic analyses.
@en
prefLabel
Improved prediction of critica ...... work and phylogenetic analyses
@nl
Improved prediction of critica ...... ork and phylogenetic analyses.
@ast
Improved prediction of critica ...... ork and phylogenetic analyses.
@en
P2093
P2860
P3181
P356
P1433
P1476
Improved prediction of critica ...... ork and phylogenetic analyses.
@en
P2093
Boris Thibert
Dale E Bredesen
Gabriel del Rio
P2860
P2888
P3181
P356
10.1186/1471-2105-6-213
P407
P577
2005-08-26T00:00:00Z
P5875
P6179
1010051763