Biomedical Research Foundation, Academy of Athens, Athens, Greece.
Evol Bioinform Online. 2012;8:47-60. doi: 10.4137/EBO.S8018. Epub 2011 Dec 18.
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.
域融合分析利用了这样一个事实，即在给定的蛋白质组 A 中，某些蛋白质被发现与蛋白质组 B 中的两个独立蛋白质具有统计学上显著的相似性。换句话说，蛋白质组 B 中两个独立蛋白质融合事件的结果是蛋白质组 A 中特定的全长蛋白质。在这种情况下，可以有把握地得出结论，蛋白质对具有共同的生物学功能，甚至相互作用。在本文中，我们介绍了融合事件数据库（FED），这是一个用于维护和检索原核生物和真核生物融合数据的数据库，以及用于融合事件分析的软件（SAFE），这是一个为自动检测、过滤和可视化融合事件而实现的计算平台（均可在：http://www.bioacademy.gr/bioinformatics/projects/ProteinFusion/index.htm）。最后，我们使用这些工具分析了三种微生物的蛋白质组，以证明它们的功能。
