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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2011
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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 |
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author | Tsagrasoulis, Dimosthenis Danos, Vasilis Kissa, Maria Trimpalis, Philip Koumandou, V. Lila Karagouni, Amalia D. Tsakalidis, Athanasios Kossida, Sophia |
author_facet | Tsagrasoulis, Dimosthenis Danos, Vasilis Kissa, Maria Trimpalis, Philip Koumandou, V. Lila Karagouni, Amalia D. Tsakalidis, Athanasios Kossida, Sophia |
author_sort | Tsagrasoulis, Dimosthenis |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3256994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-32569942012-01-20 SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis Tsagrasoulis, Dimosthenis Danos, Vasilis Kissa, Maria Trimpalis, Philip Koumandou, V. Lila Karagouni, Amalia D. Tsakalidis, Athanasios Kossida, Sophia Evol Bioinform Online Original Research 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. Libertas Academica 2011-12-18 /pmc/articles/PMC3256994/ /pubmed/22267904 http://dx.doi.org/10.4137/EBO.S8018 Text en © the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited. |
spellingShingle | Original Research Tsagrasoulis, Dimosthenis Danos, Vasilis Kissa, Maria Trimpalis, Philip Koumandou, V. Lila Karagouni, Amalia D. Tsakalidis, Athanasios Kossida, Sophia SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis |
title | SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis |
title_full | SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis |
title_fullStr | SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis |
title_full_unstemmed | SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis |
title_short | SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis |
title_sort | safe software and fed database to uncover protein-protein interactions using gene fusion analysis |
topic | Original Research |
url | 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 |
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