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Nature
Article . 2000 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature
Article . 2000
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A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

Authors: Jonathan M. Rothberg; Brian C. Godwin; Theodore S. Kalbfleisch; Richard S. Judson; Daniel Lockshon; Gerard Cagney; Alia Qureshi-Emili; +13 Authors

A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

Abstract

Two large-scale yeast two-hybrid screens were undertaken to identify protein-protein interactions between full-length open reading frames predicted from the Saccharomyces cerevisiae genome sequence. In one approach, we constructed a protein array of about 6,000 yeast transformants, with each transformant expressing one of the open reading frames as a fusion to an activation domain. This array was screened by a simple and automated procedure for 192 yeast proteins, with positive responses identified by their positions in the array. In a second approach, we pooled cells expressing one of about 6,000 activation domain fusions to generate a library. We used a high-throughput screening procedure to screen nearly all of the 6,000 predicted yeast proteins, expressed as Gal4 DNA-binding domain fusion proteins, against the library, and characterized positives by sequence analysis. These approaches resulted in the detection of 957 putative interactions involving 1,004 S. cerevisiae proteins. These data reveal interactions that place functionally unclassified proteins in a biological context, interactions between proteins involved in the same biological function, and interactions that link biological functions together into larger cellular processes. The results of these screens are shown here.

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Keywords

Fungal Proteins, Open Reading Frames, Peptide Library, Two-Hybrid System Techniques, Saccharomyces cerevisiae, Protein Binding, Protein Structure, Tertiary

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4K
Top 0.1%
Top 0.01%
Top 0.01%
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