Detecting protein function and protein-protein interactions from genome sequences

Science. 1999 Jul 30;285(5428):751-3. doi: 10.1126/science.285.5428.751.

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