On the number of protein–protein interactions in the yeast proteome
Using two different approaches, we estimated that on average there are about five interacting partners per protein in the proteome of the yeast Saccharomyces cerevisiae. In the first approach, we used a novel method to model sampling overlap by a Bernoulli process, compared the results of two indepe...
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Published in | Nucleic acids research Vol. 31; no. 14; pp. 4157 - 4161 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
15.07.2003
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
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Summary: | Using two different approaches, we estimated that on average there are about five interacting partners per protein in the proteome of the yeast Saccharomyces cerevisiae. In the first approach, we used a novel method to model sampling overlap by a Bernoulli process, compared the results of two independent yeast two‐hybrid interaction screens and tested the robustness of the estimate. The most stable estimate of five interactors per protein was obtained when the three most highly connected nodes in the protein interaction network were removed from the analysis (eight interactors per protein if those nodes were kept). In the second approach, we analysed a published high‐confidence subset of putative interaction data obtained from multiple sources, including large‐scale two‐hybrid screens, complex purifications, synthetic lethals, correlated gene expression, computational predictions and previous annotations. Strikingly, the estimate was again five interactors per protein. These estimates suggest a range of ∼16 000–26 000 different interaction pairs in the yeast, excluding homotypic interactions. We also discuss the approaches to estimating the rate of homotypic interactions. |
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Bibliography: | ark:/67375/HXZ-82CVMTGJ-X Received March 7, 2003; Revised May 2, 2003; Accepted May 13, 2003 istex:62922F8B3988C50144CB5BE699A5A3F30C6175D5 Tel: +49 89 85652644; Fax: +49 89 85652610; Email: andrei.grigoriev@gpc‐biotech.com local:gkg466 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0305-1048 1362-4962 1362-4962 |
DOI: | 10.1093/nar/gkg466 |