An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies.

Journal: BMC bioinformatics
PMID: 31182007

Abstract

BACKGROUND: Antimicrobial peptides (AMPs) are essential components of the innate immune system and can protect the host from various pathogenic bacteria. The marine environment is known to be one of the richest sources for AMPs. Effective usage of AMPs and their derivatives can greatly improve the immunity and breeding survival rate of aquatic products. It is highly desirable to develop computational tools for rapidly and accurately identifying AMPs and their functional types, for the purpose of helping design new and more effective antimicrobial agents.

Authors

  • Yuan Lin
  • Yinyin Cai
    School of Information Science and Technology, Xiamen University, Xiamen, Fujian 361005, China.
  • Juan Liu
    Key State Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan 430072, PR China. Electronic address: liujuan@whu.edu.cn.
  • Chen Lin
    Faculty of Business and Economics, University of Hong Kong, Hong Kong SAR 999077, China.
  • Xiangrong Liu

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