iACVP-MR: Accurate Identification of Anti-coronavirus Peptide based on Multiple Features Information and Recurrent Neural Network.

Journal: Current medicinal chemistry
PMID:

Abstract

BACKGROUND: Over the years, viruses have caused human illness and threatened human health. Therefore, it is pressing to develop anti-coronavirus infection drugs with clear function, low cost, and high safety. Anti-coronavirus peptide (ACVP) is a key therapeutic agent against coronavirus. Traditional methods for finding ACVP need a great deal of money and man power. Hence, it is a significant task to establish intelligent computational tools to able rapid, efficient and accurate identification of ACVP.

Authors

  • Yunyun Liang
    School of Mathematics and Statistics, Xidian University, Xi'an 710071, PR China. Electronic address: yunyunliang88@163.com.
  • Xinyan Ma
    School of Science, Xi'an Polytechnic University, Xi'an, 710048, P.R. China.
  • Jin Li
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
  • Shengli Zhang
    Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University Beijing, China.