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SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis

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 speci...

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Detalles Bibliográficos
Autores principales: Tsagrasoulis, Dimosthenis, Danos, Vasilis, Kissa, Maria, Trimpalis, Philip, Koumandou, V. Lila, Karagouni, Amalia D., Tsakalidis, Athanasios, Kossida, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3256994/
https://www.ncbi.nlm.nih.gov/pubmed/22267904
http://dx.doi.org/10.4137/EBO.S8018
Descripción
Sumario: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.