Evolutionary Bioinformatics (Jan 2012)

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

  • Dimosthenis Tsagrasoulis,
  • Vasilis Danos,
  • Maria Kissa,
  • Philip Trimpalis,
  • V. Lila Koumandou,
  • Amalia D. Karagouni,
  • Athanasios Tsakalidis,
  • Sophia Kossida

DOI
https://doi.org/10.4137/EBO.S8018
Journal volume & issue
Vol. 8

Abstract

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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: Error! Hyperlink reference not valid.). Finally, we analyze the proteomes of three microorganisms using these tools in order to demonstrate their functionality.