title: PrOnto database : GO term functional dissimilarity inferred from biological data.
abstract: Moonlighting proteins are defined by their involvement in multiple, unrelated functions. The computational prediction of such proteins requires a formal method of assessing the similarity of cellular processes, for example, by identifying dissimilar Gene Ontology terms. While many measures of Gene Ontology term similarity exist, most depend on abstract mathematical analyses of the structure of the GO tree and do not necessarily represent the underlying biology. Here, we propose two metrics of GO term functional dissimilarity derived from biological information, one based on the protein annotations and the other on the interactions between proteins. They have been collected in the PrOnto database, a novel tool which can be of particular use for the identification of moonlighting proteins. The database can be queried via an web-based interface which is freely available at http://tagc.univ-mrs.fr/pronto.
authors.affiliation: Inserm, UMR_S1090 TAGC Marseille, France ; Aix-Marseille Université, UMR_S1090 TAGC Marseille, France.
authors.forename: Charles E
authors.initials: CE
authors.lastname: Chapple
authors.affiliation: Inserm, UMR_S1090 TAGC Marseille, France ; Aix-Marseille Université, UMR_S1090 TAGC Marseille, France.
authors.forename: Carl
authors.initials: C
authors.lastname: Herrmann
authors.affiliation: Inserm, UMR_S1090 TAGC Marseille, France ; Aix-Marseille Université, UMR_S1090 TAGC Marseille, France ; Centre National de la Recherche Scientifique Marseille, France.
authors.forename: Christine
authors.initials: C
authors.lastname: Brun
keywords: database; functional similarity; gene ontology; moonlighting protein; protein-protein interactions