Accurate prediction of protein-protein interactions from sequence alignments using a Bayesian method.
about
Dissecting the specificity of protein-protein interaction in bacterial two-component signaling: orphans and crosstalksProtein 3D structure computed from evolutionary sequence variationSequence co-evolution gives 3D contacts and structures of protein complexesDisentangling direct from indirect co-evolution of residues in protein alignmentsBurkholderia contaminans Biofilm Regulating Operon and Its Distribution in Bacterial GenomesPrediction of contact residue pairs based on co-substitution between sites in protein structuresPrediction of protein-RNA residue-base contacts using two-dimensional conditional random field with the lassoThe nature of protein domain evolution: shaping the interaction networkProtein structure prediction from sequence variationIdentification of direct residue contacts in protein-protein interaction by message passingFast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partnersStructural bioinformatics of the interactome.Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis.High-resolution protein complexes from integrating genomic information with molecular simulation.A computational framework for boosting confidence in high-throughput protein-protein interaction datasetsPartner-aware prediction of interacting residues in protein-protein complexes from sequence data.Identification of coevolving residues and coevolution potentials emphasizing structure, bond formation and catalytic coordination in protein evolutionDual activities of odorants on olfactory and nuclear hormone receptors.Phylogeny-guided interaction mapping in seven eukaryotes.PRED_PPI: a server for predicting protein-protein interactions based on sequence data with probability assignment.Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates.Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information.Systematic dissection and trajectory-scanning mutagenesis of the molecular interface that ensures specificity of two-component signaling pathways.Sequence motifs in MADS transcription factors responsible for specificity and diversification of protein-protein interaction.Interaction fidelity in two-component signaling.The genetic organisation of prokaryotic two-component system signalling pathways.Evolution of two-component signal transduction systemsConditional random field approach to prediction of protein-protein interactions using domain informationEvolution and phyletic distribution of two-component signal transduction systems.Predicting the fission yeast protein interaction network.Simulated evolution of protein-protein interaction networks with realistic topology.A three-dimensional topology of complex I inferred from evolutionary correlations.Practical aspects of protein co-evolutionImproving contact prediction along three dimensions.P2CS: updates of the prokaryotic two-component systems database.A transcriptional network signature characterizes lung cancer subtypesInter-Protein Sequence Co-Evolution Predicts Known Physical Interactions in Bacterial Ribosomes and the Trp OperoniWRAP: An interface threading approach with application to prediction of cancer-related protein-protein interactionsTowards the prediction of protein interaction partners using physical dockingMSCA: a spectral comparison algorithm between time series to identify protein-protein interactions.
P2860
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P2860
Accurate prediction of protein-protein interactions from sequence alignments using a Bayesian method.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Accurate prediction of protein ...... ments using a Bayesian method.
@en
type
label
Accurate prediction of protein ...... ments using a Bayesian method.
@en
prefLabel
Accurate prediction of protein ...... ments using a Bayesian method.
@en
P2860
P356
P1476
Accurate prediction of protein ...... ments using a Bayesian method.
@en
P2093
Lukas Burger
P2860
P356
10.1038/MSB4100203
P577
2008-02-12T00:00:00Z