Exploiting two-layer support vector machine to predict protein sumoylation sites

Van Nui Nguyen, Huy Khoi Do, Thi Xuan Tran, Nguyen Quoc Khanh Le, Anh Tu Le, Tzong Yi Lee

研究成果: 書貢獻/報告類型章節

摘要

In Eukaryotes species, SUMOylation is one of the most important post-translational modification playing significant roles in biological processes and cellular functions. The mechanism caused by SUMOylation process will affect many biological processes, then turn into the changes of a variety of common serious diseases, such as: breast cancer, cardiac, Parkinson’s and Alzheimer’s disease. Due to the very important roles underlying SUMOylation process, the requirement to have extensive knowledge on SUMOylation and its mechanism is emerging as one of the hottest issues. In this study, we will introduce an approach that exploits two-layer support vector machine to identify protein SUMOylation sites based on substrate motifs.
原文英語
主出版物標題Lecture Notes in Networks and Systems
發行者Springer India
頁面324-332
頁數9
DOIs
出版狀態已發佈 - 一月 1 2019
對外發佈

出版系列

名字Lecture Notes in Networks and Systems
63
ISSN(列印)2367-3370
ISSN(電子)2367-3389

ASJC Scopus subject areas

  • 控制與系統工程
  • 訊號處理
  • 電腦網路與通信

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