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Cited by 312

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network

Open access
Brun, Christine, Chevenet, François, Martin, David, Wojcik, Jérôme, Guénoche, Alain, Jacq, Bernard·2003·Genome Biology

Abstract

We here describe PRODISTIN, a new computational method allowing the functional clustering of proteins on the basis of protein-protein interaction data. This method, assessed biologically and statistically, enabled us to classify 11% of the Saccharomyces cerevisiae proteome into several groups, the majority of which contained proteins involved in the same biological process(es), and to predict a cellular function for many otherwise uncharacterized proteins.

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Crossref · 10.1186/gb-2003-5-1-r6

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Metadata

Authors
Brun, C., Chevenet, F., Martin, D., Wojcik, J., Guénoche, A., & Jacq, B.
Venue
Genome Biology
Published
2003-12-15
Volume
5
Issue
1
Pages
R6-R6
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W1956694423
Cited by
312
References
4
FWCI
3.43
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network. https://app.cochat.ai/papers/10.1186/gb-2003-5-1-r6
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Brun, C., Chevenet, F., Martin, D., Wojcik, J., Guénoche, A., & Jacq, B. (2003). Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network. Genome Biology. https://doi.org/10.1186/gb-2003-5-1-r6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.