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Predicting physiologically relevant SH3 domain mediated protein–protein interactions in yeast
Author(s) -
Shobhit Jain,
Gary D. Bader
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw045
Subject(s) - computational biology , protein–protein interaction , protein sequencing , computer science , peptide library , sh3 domain , biology , peptide sequence , genetics , signal transduction , gene , proto oncogene tyrosine protein kinase src
Many intracellular signaling processes are mediated by interactions involving peptide recognition modules such as SH3 domains. These domains bind to small, linear protein sequence motifs which can be identified using high-throughput experimental screens such as phage display. Binding motif patterns can then be used to computationally predict protein interactions mediated by these domains. While many protein-protein interaction prediction methods exist, most do not work with peptide recognition module mediated interactions or do not consider many of the known constraints governing physiologically relevant interactions between two proteins.

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