High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
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Machine scores (provisional)
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- Validation status
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Abstract
Current yeast interactome network maps contain several hundred molecular complexes with limited and somewhat controversial representation of direct binary interactions. We carried out a comparative quality assessment of current yeast interactome data sets, demonstrating that high-throughput yeast two-hybrid (Y2H) screening provides high-quality binary interaction information. Because a large fraction of the yeast binary interactome remains to be mapped, we developed an empirically controlled mapping framework to produce a "second-generation" high-quality, high-throughput Y2H data set covering approximately 20% of all yeast binary interactions. Both Y2H and affinity purification followed by mass spectrometry (AP/MS) data are of equally high quality but of a fundamentally different and complementary nature, resulting in networks with different topological and biological properties. Compared to co-complex interactome models, this binary map is enriched for transient signaling interactions and intercomplex connections with a highly significant clustering between essential proteins. Rather than correlating with essentiality, protein connectivity correlates with genetic pleiotropy.
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The record
- Venue
- Science
- Topic
- Bioinformatics and Genomic Networks
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- University of Toronto
- Funders
- National Institute of Allergy and Infectious DiseasesNational Cancer InstituteNational Human Genome Research InstituteU.S. Public Health Service
- Keywords
- InteractomeBinary numberComputational biologyYeastComputer scienceCluster analysisSaccharomyces cerevisiaeData miningBiologyGeneticsArtificial intelligenceGeneMathematics
- Has abstract in OpenAlex
- yes