Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

FED

General information

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
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: Greece

Classification & Tag

Data type:
Data object:
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Contact information

University/Institution: Academy of Athens
Address:
City: Athens
Province/State:
Country/Region: Greece
Contact name (PI/Team): Sophia Kossida
Contact email (PI/Helpdesk): skossida@bioacademy.gr

Publications

22267904
SAFE Software and FED Database to Uncover Protein-Protein Interactions using Gene Fusion Analysis. [PMID: 22267904]
Tsagrasoulis D, Danos V, Kissa M, Trimpalis P, Koumandou VL, Karagouni AD, Tsakalidis A, Kossida S.

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.

Evol Bioinform Online. 2012:8() | 4 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6469/6895 (6.193%)
Genotype phenotype and variation:
940/1005 (6.567%)
Interaction:
1148/1194 (3.936%)
6469
Total Rank
4
Citations
0.308
z-index

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Record metadata

Created on: 2018-01-29
Curated by:
Pei Wang [2018-02-24]