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PRASA: An integrated web server that analyzes protein interaction types

  • Chen Yu Fan
  • , Yi Han Bai
  • , Cheng Yi Huang
  • , Tsung Ju Yao
  • , Wen Hao Chiang
  • , Darby Tien Hao Chang

研究成果: Article同行評審

1   連結會在新分頁中打開 引文 斯高帕斯(Scopus)

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.

原文English
頁(從 - 到)78-83
頁數6
期刊Gene
518
發行號1
DOIs
出版狀態Published - 2013 4月 10

All Science Journal Classification (ASJC) codes

  • 遺傳學

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