Detecting Protein Function and Protein-Protein Interactions from Genome Sequences
Author(s) -
Edward M. Marcotte,
Matteo Pellegrini,
Ho Leung Ng,
Danny W. Rice,
Todd O. Yeates,
David Eisenberg
Publication year - 1999
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.285.5428.751
Subject(s) - genome , computational biology , biology , protein–protein interaction , function (biology) , genetics , protein function , homologous chromosome , yeast , gene
A computational method is proposed for inferring protein interactions from genome sequences on the basis of the observation that some pairs of interacting proteins have homologs in another organism fused into a single protein chain. Searching sequences from many genomes revealed 6809 such putative protein-protein interactions in Escherichia coli and 45,502 in yeast. Many members of these pairs were confirmed as functionally related; computational filtering further enriches for interactions. Some proteins have links to several other proteins; these coupled links appear to represent functional interactions such as complexes or pathways. Experimentally confirmed interacting pairs are documented in a Database of Interacting Proteins.
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