Method
Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network
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* Corresponding author: Bernard Jacq jacq@lgpd.univ-mrs.fr
- † Equal contributors
1 Laboratoire de Génétique et Physiologie du Développement, CNRS UMR6545, Parc Scientifique et Technologique de Luminy, Case 907, 13288 Marseille Cedex 9, France
2 Centre d'Etude sur le Polymorphisme des Micro-organismes, CNRS/IRD UMR 9926, 911 avenue Agropolis, BP 6450, 34394 Montpellier Cedex 5, France
3 Hybrigenics SA, 3/5 impasse Reille, 75014 Paris, France
4 Institut de Mathématiques de Luminy, CNRS UPR9016, Parc Scientifique et Technologique de Luminy, Case 907, 13288 Marseille Cedex 9, France
Genome Biology 2003, 5:R6 doi:
Published: 15 December 2003Additional files
Additional data file 1:
Composition of the 63 PRODISTIN classes. Numbers in column ''Cellular Role' Annotation' indicate founder proteins for each class (see Fig. 3 legend). When two 'Cellular Roles' are assigned to a same class, 1 and 2 indicate proteins annotated with the first one and/or the second class respectively. A question mark (?) marks proteins of unknown function. The class robustness index is indicated for each class
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Additional data file 2:
Details of the functional predictions and comparisons with predictions obtained by other means
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