Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis.
about
Sequence co-evolution gives 3D contacts and structures of protein complexesSequence co-evolutionary information is a natural partner to minimally-frustrated models of biomolecular dynamicsComputational modeling of membrane proteinsAn Integrated Framework Advancing Membrane Protein Modeling and DesignProbabilistic grammatical model for helix‐helix contact site classificationConserved-residue mutations in Wzy affect O-antigen polymerization and Wzz-mediated chain-length regulation in Pseudomonas aeruginosa PAO1Proton-dependent gating and proton uptake by Wzx support O-antigen-subunit antiport across the bacterial inner membraneAchievements and challenges in structural bioinformatics and computational biophysicsProtein structure determination by combining sparse NMR data with evolutionary couplingsAll-atom 3D structure prediction of transmembrane β-barrel proteins from sequencesProtein structure prediction from sequence variationPconsFold: improved contact predictions improve protein modelsMembrane protein orientation and refinement using a knowledge-based statistical potential.Relation between sequence and structure in membrane proteins.Network deconvolution as a general method to distinguish direct dependencies in networksTransmembrane protein alignment and fold recognition based on predicted topologyAssessing the utility of coevolution-based residue-residue contact predictions in a sequence- and structure-rich era.Protein modeling: what happened to the "protein structure gap"?BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.Coevolutionary signals across protein lineages help capture multiple protein conformations.Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partnersAutomated procedure for contact-map-based protein structure reconstruction.How a spatial arrangement of secondary structure elements is dispersed in the universe of protein folds.MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins.Accurate contact predictions using covariation techniques and machine learning.Protein structure refinement via molecular-dynamics simulations: What works and what does not?Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.Large-scale determination of previously unsolved protein structures using evolutionary informationEffective protein conformational sampling based on predicted torsion angles.Residue proximity information and protein model discrimination using saturation-suppressor mutagenesisCOMSAT: Residue contact prediction of transmembrane proteins based on support vector machines and mixed integer linear programming.Recent advances in sequence-based protein structure prediction.A large-scale comparative assessment of methods for residue-residue contact prediction.Big-data approaches to protein structure prediction.Protein structure determination using metagenome sequence data.Computational Approaches for Revealing the Structure of Membrane Transporters: Case Study on Bilitranslocase.Improving prediction of helix-helix packing in membrane proteins using predicted contact numbers as restraints.BCL::MP-fold: folding membrane proteins through assembly of transmembrane helices.Expediting topology data gathering for the TOPDB database.From principal component to direct coupling analysis of coevolution in proteins: low-eigenvalue modes are needed for structure prediction
P2860
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P2860
Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Accurate de novo structure pre ...... correlated mutation analysis.
@ast
Accurate de novo structure pre ...... correlated mutation analysis.
@en
type
label
Accurate de novo structure pre ...... correlated mutation analysis.
@ast
Accurate de novo structure pre ...... correlated mutation analysis.
@en
prefLabel
Accurate de novo structure pre ...... correlated mutation analysis.
@ast
Accurate de novo structure pre ...... correlated mutation analysis.
@en
P2860
P356
P1476
Accurate de novo structure pre ...... correlated mutation analysis.
@en
P2093
David T Jones
Timothy Nugent
P2860
P304
P356
10.1073/PNAS.1120036109
P407
P577
2012-05-29T00:00:00Z