PMID:10427000
| Citation |
Marcotte, EM, Pellegrini, M, Ng, HL, Rice, DW, Yeates, TO and Eisenberg, D (1999) Detecting protein function and protein-protein interactions from genome sequences. Science 285:751-3 |
|---|---|
| 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. |
| Links | |
| Keywords |
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 |
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