Networks of high mutual information define the structural proximity of catalytic sites: implications for catalytic residue identification.
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L1pred: a sequence-based prediction tool for catalytic residues in enzymes with the L1-logreg classifierMolecular Determinants Underlying Binding Specificities of the ABL Kinase Inhibitors: Combining Alanine Scanning of Binding Hot Spots with Network Analysis of Residue Interactions and CoevolutionRecent advances in functional region prediction by using structural and evolutionary information - Remaining problems and future extensionsCharacteristics Analyses and Comparisons of the Protein Structure Networks Constructed by Different Methods.Exploring Molecular Mechanisms of Paradoxical Activation in the BRAF Kinase Dimers: Atomistic Simulations of Conformational Dynamics and Modeling of Allosteric Communication Networks and Signaling Pathways.RING: networking interacting residues, evolutionary information and energetics in protein structures.Correlated mutations via regularized multinomial regression.CLIPS-1D: analysis of multiple sequence alignments to deduce for residue-positions a role in catalysis, ligand-binding, or protein structureIdentification of catalytic residues using a novel feature that integrates the microenvironment and geometrical location properties of residues.Mapping the mutual information network of enzymatic families in the protein structure to unveil functional features.IBIS (Inferred Biomolecular Interaction Server) reports, predicts and integrates multiple types of conserved interactions for proteinsA coevolutionary residue network at the site of a functionally important conformational change in a phosphohexomutase enzyme family.Disentangling evolutionary signals: conservation, specificity determining positions and coevolution. Implication for catalytic residue predictionMolecular-docking study of malaria drug target enzyme transketolase in Plasmodium falciparum 3D7 portends the novel approach to its treatment.Computational Analysis of Residue Interaction Networks and Coevolutionary Relationships in the Hsp70 Chaperones: A Community-Hopping Model of Allosteric Regulation and CommunicationMISTIC: Mutual information server to infer coevolutionSigniSite: Identification of residue-level genotype-phenotype correlations in protein multiple sequence alignmentsAccounting for epistatic interactions improves the functional analysis of protein structures.MIToS.jl: mutual information tools for protein sequence analysis in the Julia language.The role of the N-terminal tail for the oligomerization, folding and stability of human frataxinEnsemble-based modeling and rigidity decomposition of allosteric interaction networks and communication pathways in cyclin-dependent kinases: Differentiating kinase clients of the Hsp90-Cdc37 chaperone.In silico analysis of coevolution among ERMES proteins, Pex11, and Lam6.Protein-protein interactions leave evolutionary footprints: High molecular coevolution at the core of interfaces.Chimeric Structure of Plant Malic Enzyme Family: Different Evolutionary Scenarios for NAD- and NADP-Dependent Isoforms.Dissecting Structure-Encoded Determinants of Allosteric Cross-Talk between Post-Translational Modification Sites in the Hsp90 Chaperones.MISTIC2: comprehensive server to study coevolution in protein families.Activating Mutations Cluster in the “Molecular Brake” Regions of Protein Kinases and Do Not Associate with Conserved or Catalytic Residues
P2860
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P2860
Networks of high mutual information define the structural proximity of catalytic sites: implications for catalytic residue identification.
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Networks of high mutual inform ...... alytic residue identification.
@ast
Networks of high mutual inform ...... alytic residue identification.
@en
type
label
Networks of high mutual inform ...... alytic residue identification.
@ast
Networks of high mutual inform ...... alytic residue identification.
@en
prefLabel
Networks of high mutual inform ...... alytic residue identification.
@ast
Networks of high mutual inform ...... alytic residue identification.
@en
P2860
P50
P1476
Networks of high mutual inform ...... talytic residue identification
@en
P2093
José María Delfino
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000978
P577
2010-11-04T00:00:00Z