Antimicrobial peptide identification using multi-scale convolutional network.

Journal: BMC bioinformatics
Published Date: Dec 23, 2019

Abstract

BACKGROUND: Antibiotic resistance has become an increasingly serious problem in the past decades. As an alternative choice, antimicrobial peptides (AMPs) have attracted lots of attention. To identify new AMPs, machine learning methods have been commonly used. More recently, some deep learning methods have also been applied to this problem.

Authors

  • Xin Su
    Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China.
  • Jing Xu
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Yanbin Yin
    Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska-Lincoln, 1400 R Street, Lincoln, NE, 68588, USA.
  • Xiongwen Quan
    College of Artificial Intelligence, Nankai University, Tongyan Road, Tianjin, 300350, China.
  • Han Zhang
    Johns Hopkins University, Baltimore, MD, USA.

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