ML-AMPs designed through machine learning show antifungal activity against C. albicans and therapeutic potential on mice model with candidiasis.

Journal: Life sciences
PMID: 39983817

Abstract

AIMS: C. albicans resistant strains have led to increasingly severe treatment challenges. Antimicrobial peptides with low resistance-inducing propensity for pathogens have been developed. A series of antimicrobial peptides de novo designed through machine learning by our research team were named ML-AMPs. In the present research, the antifungal activity of ML-AMPs against C. albicans and its therapeutic potential on Candidiasis mice model were studied.

Authors

  • Shaojie Zhang
    Department of Computer Science, University of Central Florida, Orlando, 32816-2362 Florida USA.
  • Yiqing Sun
    Zhengzhou Key Laboratory of Functional Molecules for Biomedical Research, Henan University of Technology, 450001 Zhengzhou, Henan, PR China; School of Biological Engineering, Henan University of Technology, 450001, Zhengzhou, Henan, PR China.
  • Kedong Yin
    School of Economics, Ocean University of China, Qingdao 266100, China. yinkedong@ouc.edu.cn.
  • Jinhua Zhang
    State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, People's Republic of China.
  • Lingguang Du
    Henan University of Technology - Golden Lily Microecological Joint Research and Development Center, 450001, Zhengzhou, Henan, PR China; Golden Lily Microecology Group Co., LTD, 450001 Zhengzhou, Henan, PR China.
  • Shusong Wang
    Henan University of Technology - Golden Lily Microecological Joint Research and Development Center, 450001, Zhengzhou, Henan, PR China; Golden Lily Microecology Group Co., LTD, 450001 Zhengzhou, Henan, PR China.
  • Dongge Zheng
    Henan University of Technology - Golden Lily Microecological Joint Research and Development Center, 450001, Zhengzhou, Henan, PR China; Golden Lily Microecology Group Co., LTD, 450001 Zhengzhou, Henan, PR China.
  • Ruifang Li
    Key Laboratory of Functional Molecules for Biomedical Research, Henan University of Technology, 100 Lianhua Street, Zhengzhou, 450001, Henan, People's Republic of China. lrf@haut.edu.cn.

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