Identification of conserved protein complexes based on a model of protein network evolution
Author(s) -
Eitan Hirsh,
Roded Sharan
Publication year - 2007
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/btl295
Subject(s) - computational biology , biology , yeast , conserved sequence , identification (biology) , probabilistic logic , gene duplication , protein–protein interaction , gene , model organism , biological network , protein family , statistical model , genetics , computer science , machine learning , peptide sequence , artificial intelligence , ecology
Data on protein-protein interactions (PPIs) are increasing exponentially. To date, large-scale protein interaction networks are available for human and most model species. The arising challenge is to organize these networks into models of cellular machinery. As in other biological domains, a comparative approach provides a powerful basis for addressing this challenge.
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