| URL: | http://www.bioacademy.gr/bioinformatics/projects/ProteinFusion/index.htm |
| Full name: | the Fusion Events Database |
| Description: | the Fusion Events Database (FED) is 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. |
| Year founded: | 2012 |
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| Accessibility: |
Unaccessible
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| Country/Region: | Greece |
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| University/Institution: | Academy of Athens |
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| City: | Athens |
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| Country/Region: | Greece |
| Contact name (PI/Team): | Sophia Kossida |
| Contact email (PI/Helpdesk): | skossida@bioacademy.gr |
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SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis. [PMID: 22267904]
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. |