Abstract
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.
Publication types
-
Research Support, Non-U.S. Gov't
-
Research Support, U.S. Gov't, Non-P.H.S.
-
Research Support, U.S. Gov't, P.H.S.
MeSH terms
-
Amino Acid Sequence
-
Bacterial Proteins / chemistry
-
Bacterial Proteins / genetics
-
Bacterial Proteins / metabolism
-
Bacterial Proteins / physiology
-
Binding Sites
-
Computational Biology*
-
Databases, Factual
-
Escherichia coli / genetics
-
Evolution, Molecular
-
Fungal Proteins / chemistry
-
Fungal Proteins / genetics
-
Fungal Proteins / metabolism
-
Genome*
-
Genome, Bacterial
-
Genome, Fungal
-
Humans
-
Models, Biological
-
Proteins / chemistry
-
Proteins / genetics
-
Proteins / metabolism
-
Proteins / physiology*
-
Sequence Homology, Amino Acid*
-
Sequence Homology, Nucleic Acid*
-
Thermodynamics
Substances
-
Bacterial Proteins
-
Fungal Proteins
-
Proteins