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.
Publication types
-
Comparative Study
-
Research Support, Non-U.S. Gov't
MeSH terms
-
Cluster Analysis
-
Computational Biology / methods
-
Computational Biology / statistics & numerical data
-
Predictive Value of Tests
-
Protein Interaction Mapping / methods*
-
Protein Interaction Mapping / statistics & numerical data
-
Proteome / physiology
-
Saccharomyces cerevisiae / cytology*
-
Saccharomyces cerevisiae / genetics
-
Saccharomyces cerevisiae Proteins / physiology*
-
Software
-
Software Design
Substances
-
Proteome
-
Saccharomyces cerevisiae Proteins