AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides.

Journal: Bioinformatics (Oxford, England)
PMID: 38452348

Abstract

MOTIVATION: Anticancer peptides (ACPs) have natural cationic properties and can act on the anionic cell membrane of cancer cells to kill cancer cells. Therefore, ACPs have become a potential anticancer drug with good research value and prospect.

Authors

  • 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.
  • Ya Zhao
    School of Acupuncture-moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 100029, China.
  • Yunyun Liang
    School of Mathematics and Statistics, Xidian University, Xi'an 710071, PR China. Electronic address: yunyunliang88@163.com.

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