Effective use of sequence correlation and conservation in fold recognition.
about
Disentangling direct from indirect co-evolution of residues in protein alignmentsEVAcon: a protein contact prediction evaluation serviceImproved prediction of critical residues for protein function based on network and phylogenetic analyses.Genome-wide hepatitis C virus amino acid covariance networks can predict response to antiviral therapy in humansDistinguishing functional amino acid covariation from background linkage disequilibrium in HIV protease and reverse transcriptaseCorrelated electrostatic mutations provide a reservoir of stability in HIV proteaseEnvironment-dependent residue contact energies for proteins.Prediction of coordination number and relative solvent accessibility in proteins.EVA: Evaluation of protein structure prediction servers.CRASP: a program for analysis of coordinated substitutions in multiple alignments of protein sequences.Improved residue contact prediction using support vector machines and a large feature set.Using inferred residue contacts to distinguish between correct and incorrect protein modelsMultiple sequence alignments as tools for protein structure and function prediction.Ab initio protein structure prediction using pathway models.Contact prediction in protein modeling: scoring, folding and refinement of coarse-grained modelsTowards accurate residue-residue hydrophobic contact prediction for alpha helical proteins via integer linear optimizationAmino acid positions subject to multiple coevolutionary constraints can be robustly identified by their eigenvector network centrality scoresBCL::contact-low confidence fold recognition hits boost protein contact prediction and de novo structure determination.Integration of evolutionary features for the identification of functionally important residues in major facilitator superfamily transportersContact prediction for beta and alpha-beta proteins using integer linear optimization and its impact on the first principles 3D structure prediction method ASTRO-FOLD.HotSpot Wizard 2.0: automated design of site-specific mutations and smart libraries in protein engineering.Linear predictive coding representation of correlated mutation for protein sequence alignment.Correlated mutations select misfolded from properly folded proteins.Use of mutual information arrays to predict coevolving sites in the full length HIV gp120 protein for subtypes B and C.Protein sequence alignment analysis by local covariation: coevolution statistics detect benchmark alignment errors.CNNcon: improved protein contact maps prediction using cascaded neural networks.Refining intra-protein contact prediction by graph analysisCoevolution in defining the functional specificity.Identification of coevolving residues and coevolution potentials emphasizing structure, bond formation and catalytic coordination in protein evolutionCorrelated mutation analysis on the catalytic domains of serine/threonine protein kinases.Interrogating and predicting tolerated sequence diversity in protein folds: application to E. elaterium trypsin inhibitor-II cystine-knot miniproteinStructural and functional roles of coevolved sites in proteins.Markov random fields reveal an N-terminal double beta-propeller motif as part of a bacterial hybrid two-component sensor systemRole of Hsp70 ATPase domain intrinsic dynamics and sequence evolution in enabling its functional interactions with NEFs.Correlated mutations: a hallmark of phenotypic amino acid substitutions.Recognition of beta-structural motifs using hidden Markov models trained with simulated evolutionRecent developments and future directions in computational genomics.Functionally important positions can comprise the majority of a protein's architecture.SMURFLite: combining simplified Markov random fields with simulated evolution improves remote homology detection for beta-structural proteins into the twilight zone.EnrichNet: network-based gene set enrichment analysis.
P2860
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P2860
Effective use of sequence correlation and conservation in fold recognition.
description
1999 nî lūn-bûn
@nan
1999 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Effective use of sequence correlation and conservation in fold recognition.
@ast
Effective use of sequence correlation and conservation in fold recognition.
@en
type
label
Effective use of sequence correlation and conservation in fold recognition.
@ast
Effective use of sequence correlation and conservation in fold recognition.
@en
prefLabel
Effective use of sequence correlation and conservation in fold recognition.
@ast
Effective use of sequence correlation and conservation in fold recognition.
@en
P356
P1476
Effective use of sequence correlation and conservation in fold recognition.
@en
P304
P356
10.1006/JMBI.1999.3208
P407
P577
1999-11-01T00:00:00Z