Genome-wide prediction of SH2 domain targets using structural information and the FoldX algorithm.
about
Enhanced prediction of Src homology 2 (SH2) domain binding potentials using a fluorescence polarization-derived c-Met, c-Kit, ErbB, and androgen receptor interactomePhosphorylation by PINK1 releases the UBL domain and initializes the conformational opening of the E3 ubiquitin ligase ParkinDomain-mediated protein interaction prediction: From genome to network.Accurate prediction of peptide binding sites on protein surfaces.Sequence motifs in MADS transcription factors responsible for specificity and diversification of protein-protein interaction.A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence.Predicting PDZ domain mediated protein interactions from structurePositively selected sites in cetacean myoglobins contribute to protein stability.Semi-supervised prediction of SH2-peptide interactions from imbalanced high-throughput data.Design of protein-interaction specificity gives selective bZIP-binding peptides.Predicting peptide-mediated interactions on a genome-wide scale.PDZ domain-containing 1 (PDZK1) protein regulates phospholipase C-β3 (PLC-β3)-specific activation of somatostatin by forming a ternary complex with PLC-β3 and somatostatin receptorsEnriching Peptide Libraries for Binding Affinity and Specificity Through Computationally Directed Library Design.Mutations in the KDM5C ARID Domain and Their Plausible Association with Syndromic Claes-Jensen-Type Disease.Predictive Bcl-2 family binding models rooted in experiment or structure.Using genome-wide measurements for computational prediction of SH2-peptide interactions.Uncovering new aspects of protein interactions through analysis of specificity landscapes in peptide recognition domains.AB-Bind: Antibody binding mutational database for computational affinity predictions.Systematic discovery of linear binding motifs targeting an ancient protein interaction surface on MAP kinases.FoldX as Protein Engineering Tool: Better Than Random Based Approaches?
P2860
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P2860
Genome-wide prediction of SH2 domain targets using structural information and the FoldX algorithm.
description
2008 nî lūn-bûn
@nan
2008 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
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
name
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@ast
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@en
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@nl
type
label
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@ast
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@en
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@nl
prefLabel
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@ast
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@en
Genome-wide prediction of SH2 ...... ation and the FoldX algorithm.
@nl
P2093
P2860
P50
P1476
Genome-wide prediction of SH2 ...... mation and the FoldX algorithm
@en
P2093
Francois Stricher
Frederic Rousseau
Jesper Ferkinghoff-Borg
Luis Serrano
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000052
P577
2008-04-04T00:00:00Z