Protein-protein interaction prediction based on association rules of protein functional regions

Hung Fei, Chiu Hung-Wen

研究成果: 書貢獻/報告類型會議貢獻

6 引文 斯高帕斯(Scopus)

摘要

In cells, protein-protein interaction (PPI) controls the biological process. For decoding mechanism of diseases, investigators attempt to predict PPI. Recently PPI is a popular subject in bioinformatics. Functional regions of compact protein structure interact with others. Nearly a lot of PPI-related tools were produced and available. Furthermore, researchers applied computational methods with statistic methods to predict PPIs. In some researches, the investigators had tried to use it to find out the relationship of protein pair in PPI. In this paper, we collected proteins and PPI data from DIP and IntAct. Next, the data of functional regions was downloaded from UNIPROT. They were integrated into our database. Moreover, two modules of PPI prediction were established with Saccharomyces cerevisiae (yeast) and Drosophila melanogaster (fruit fly) by an association rule tool. We applied two different species' PPIs for evidence of the two modules.
原文英語
主出版物標題Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
DOIs
出版狀態已發佈 - 2008
事件2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, 日本
持續時間: 九月 5 2007九月 7 2007

其他

其他2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
國家日本
城市Kumamoto
期間9/5/079/7/07

ASJC Scopus subject areas

  • Computer Science(all)
  • Mechanical Engineering

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