蛋白质-蛋白质相互作用
生物
上传
蛋白质相互作用网络
Web服务器
计算生物学
计算机科学
万维网
互联网
遗传学
作者
Chen Yu Fan,Yi Bai,Chien-Chang Huang,Tsung Ju Yao,Wen Hao Chiang,Darby Tien Hao Chang
出处
期刊:Gene
[Elsevier]
日期:2013-04-01
卷期号:518 (1): 78-83
被引量:2
标识
DOI:10.1016/j.gene.2012.11.083
摘要
This work presents the Protein Association Analyzer (PRASA) (http://zoro.ee.ncku.edu.tw/prasa/) that predicts protein interactions as well as interaction types. Protein interactions are essential to most biological functions. The existence of diverse interaction types, such as physically contacted or functionally related interactions, makes protein interactions complex. Different interaction types are distinct and should not be confused. However, most existing tools focus on a specific interaction type or mix different interaction types. This work collected 7234058 associations with experimentally verified interaction types from five databases and compiled individual probabilistic models for different interaction types. The PRASA result page shows predicted associations and their related references by interaction type. Experimental results demonstrate the performance difference when distinguishing between different interaction types. The PRASA provides a centralized and organized platform for easy browsing, downloading and comparing of interaction types, which helps reveal insights into the complex roles that proteins play in organisms.
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