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Functional annotation from predicted protein interaction networks
Author(s) -
Jason McDermott,
Roger E. Bumgarner,
Ram Samudrala
Publication year - 2005
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/bti514
Subject(s) - annotation , inference , computer science , protein interaction networks , genome , computational biology , data mining , machine learning , protein–protein interaction , artificial intelligence , biology , genetics , gene
Progress in large-scale experimental determination of protein-protein interaction networks for several organisms has resulted in innovative methods of functional inference based on network connectivity. However, the amount of effort and resources required for the elucidation of experimental protein interaction networks is prohibitive. Previously we, and others, have developed techniques to predict protein interactions for novel genomes using computational methods and data generated from other genomes.

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