Large-scale genomic survey with deep learning-based method reveals strain-level phage specificity determinants.

Journal: GigaScience
PMID: 38649301

Abstract

BACKGROUND: Phage therapy, reemerging as a promising approach to counter antimicrobial-resistant infections, relies on a comprehensive understanding of the specificity of individual phages. Yet the significant diversity within phage populations presents a considerable challenge. Currently, there is a notable lack of tools designed for large-scale characterization of phage receptor-binding proteins, which are crucial in determining the phage host range.

Authors

  • Yiyan Yang
    Department of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
  • Keith Dufault-Thompson
    National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
  • Wei Yan
    State & Local Joint Engineering Research Center of Green Pesticide Invention and Application, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China. Electronic address: yanwei@njau.edu.cn.
  • Tian Cai
    Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York, New York 10016, United States.
  • Lei Xie
    Ph.D. Program in Computer Science, The City University of New York, New York, NY, United States.
  • Xiaofang Jiang
    National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

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