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Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence

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Abstract

The rise of antibiotic-resistant pathogens, particularly gram-negative bacteria, highlights the urgent need for novel therapeutics. Venoms form an immense and largely untapped reservoir of bioactive molecules with antimicrobial potential. In this study, we mined global venomics datasets to identify new antimicrobial candidates.
Key Data

  • Publication Date
    12 July 2025
  • Primary Author
    Changge Guan
  • Source
    Nature Communications
  • Language
    English
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