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PRASA: An integrated web server that analyzes protein interaction types
Authors:Chen-Yu Fan  Yi-Han BaiCheng-Yi Huang  Tsung-Ju YaoWen-Hao Chiang  Darby Tien-Hao Chang
Affiliation:Department of Electrical Engineering, National Cheng Kung University, Tainan 70101, Taiwan
Abstract:
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.
Keywords:PPI, protein&ndash  protein interaction   PSI-BLAST, Position-Specific Iterative Basic Local Alignment Search Tool   RVKDE, relaxed variable kernel density estimation
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