Detecting Protein Function and Protein-Protein Interactions from Genome Sequences
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.
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Many proteins that form complexes in prokaryotes are fused into long, single-chain, multidomain proteins in eukaryotes.
“many proteins that form complexes in prokaryotes are fused into long, single-chain, multidomain proteins in eukaryotes4.”
From AF2Complex predicts direct physical interactions in multimeric proteins with deep learning (2022) · cites this paper as [4]
The two CcmH domains are an exception to the notion that fused proteins directly interact.
“This is an exception to the notion that fused proteins directly interact4.”
From AF2Complex predicts direct physical interactions in multimeric proteins with deep learning (2022) · cites this paper as [4]
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References 22 · Cited by 1,670
- Authors
- Marcotte, E. M., Pellegrini, M., Ng, H.-L., Rice, D. W., Yeates, T. O., & Eisenberg, D.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Eisenberg, David
- Venue
- Science
- Published
- 1999-07-30
- Volume
- 285
- Issue
- 5428
- Pages
- 751-753
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2109715166
- Cited by
- 1,670
- References
- 22
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 17 · 2023: 15 · 2022: 31 · 2021: 32 · 2020: 19 · 2019: 39 · 2018: 41 · 2017: 56 · 2016: 35 · 2015: 50 · 2014: 43 · 2013: 56 · 2012: 73
- FWCI
- 28.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of General Medical Sciences (P01GM031299, P01 GM 31299)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Keywords
- protein-protein interaction, protein function prediction, homologous proteins, gene fusion, genome sequence analysis, Escherichia coli, yeast, protein complexes, biological pathways
- MeSH terms
- Amino Acid Sequence, Bacterial Proteins, Binding Sites, Escherichia coli, Fungal Proteins, Humans, Models, Biological, Proteins, Sequence Homology, Nucleic Acid, Thermodynamics, Databases, Factual, Genome, Genome, Bacterial, Genome, Fungal, Sequence Homology, Amino Acid, Evolution, Molecular, Computational Biology
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