From principal component to direct coupling analysis of coevolution in proteins: low-eigenvalue modes are needed for structure prediction
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Evolution-Based Functional Decomposition of ProteinsPredicting functionally informative mutations in Escherichia coli BamA using evolutionary covariance analysis.BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partnersRecent advances in functional region prediction by using structural and evolutionary information - Remaining problems and future extensionsThe Patterns of Coevolution in Clade B HIV Envelope's N-Glycosylation SitesProtein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.Correlated mutations select misfolded from properly folded proteins.Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution.Improving contact prediction along three dimensions.Characteristics of protein residue-residue contacts and their application in contact predictionDual anti-inflammatory and selective inhibition mechanism of leukotriene A4 hydrolase/aminopeptidase: insights from comparative molecular dynamics and binding free energy analyses.ACE: adaptive cluster expansion for maximum entropy graphical model inference.Prediction and redesign of protein-protein interactionsMultidimensional mutual information methods for the analysis of covariation in multiple sequence alignments.A general pairwise interaction model provides an accurate description of in vivo transcription factor binding sitesEpigenetic landscapes explain partially reprogrammed cells and identify key reprogramming genes.Coevolutionary analyses require phylogenetically deep alignments and better null models to accurately detect inter-protein contacts within and between species.Understanding the cross-resistance of oseltamivir to H1N1 and H5N1 influenza A neuraminidase mutations using multidimensional computational analyses.Identifying the Interaction of Vancomycin With Novel pH-Responsive Lipids as Antibacterial Biomaterials Via Accelerated Molecular Dynamics and Binding Free Energy Calculations.Direct coevolutionary couplings reflect biophysical residue interactions in proteins.Identifying relevant positions in proteins by Critical Variable Selection.Determination of specificity influencing residues for key transcription factor families.The binding landscape of plasmepsin V and the implications for flap dynamics.Power law tails in phylogenetic systems.Forecasting residue-residue contact prediction accuracy.Patterns of coevolving amino acids unveil structural and dynamical domains.Ensemble-based virtual screening: identification of a potential allosteric inhibitor of Bcr-Abl.OMPcontact: An Outer Membrane Protein Inter-Barrel Residue Contact Prediction Method.Re-emergence of an orphan therapeutic target for the treatment of resistant prostate cancer - a thorough conformational and binding analysis for ROR-γ protein.Targeting functional motifs of a protein family.Large pseudocounts and L2-norm penalties are necessary for the mean-field inference of Ising and Potts models.A comparative molecular dynamics study on BACE1 and BACE2 flap flexibility.Characterization of C-ring component assembly in flagellar motors from amino acid coevolution.Coevolution-based inference of amino acid interactions underlying protein function
P2860
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P2860
From principal component to direct coupling analysis of coevolution in proteins: low-eigenvalue modes are needed for structure prediction
description
2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
From principal component to di ...... eeded for structure prediction
@ast
From principal component to di ...... eeded for structure prediction
@en
type
label
From principal component to di ...... eeded for structure prediction
@ast
From principal component to di ...... eeded for structure prediction
@en
prefLabel
From principal component to di ...... eeded for structure prediction
@ast
From principal component to di ...... eeded for structure prediction
@en
P2860
P1476
From principal component to di ...... eeded for structure prediction
@en
P2093
Remi Monasson
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003176
P577
2013-08-22T00:00:00Z