title: SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis.
abstract: Domain Fusion Analysis takes advantage of the fact that certain proteins in a given proteome A, are found to have statistically significant similarity with two separate proteins in another proteome B. In other words, the result of a fusion event between two separate proteins in proteome B is a specific full-length protein in proteome A. In such a case, it can be safely concluded that the protein pair has a common biological function or even interacts physically. In this paper, we present the Fusion Events Database (FED), a database for the maintenance and retrieval of fusion data both in prokaryotic and eukaryotic organisms and the Software for the Analysis of Fusion Events (SAFE), a computational platform implemented for the automated detection, filtering and visualization of fusion events (both available at: http://www.bioacademy.gr/bioinformatics/projects/ProteinFusion/index.htm). Finally, we analyze the proteomes of three microorganisms using these tools in order to demonstrate their functionality.
authors.affiliation: Biomedical Research Foundation, Academy of Athens, Athens, Greece.
authors.forename: Dimosthenis
authors.initials: D
authors.lastname: Tsagrasoulis
authors.forename: Vasilis
authors.initials: V
authors.lastname: Danos
authors.forename: Maria
authors.initials: M
authors.lastname: Kissa
authors.forename: Philip
authors.initials: P
authors.lastname: Trimpalis
authors.forename: V Lila
authors.initials: VL
authors.lastname: Koumandou
authors.forename: Amalia D
authors.initials: AD
authors.lastname: Karagouni
authors.forename: Athanasios
authors.initials: A
authors.lastname: Tsakalidis
authors.forename: Sophia
authors.initials: S
authors.lastname: Kossida