Novel active Trp- and Arg-rich antimicrobial peptides with high solubility and low red blood cell toxicity designed using machine learning tools.

Journal: International journal of antimicrobial agents
PMID: 39645171

Abstract

BACKGROUND: Given the rising number of multidrug-resistant (MDR) bacteria, there is a need to design synthetic antimicrobial peptides (AMPs) that are highly active, non-hemolytic, and highly soluble. Machine learning tools allow the straightforward in silico identification of non-hemolytic antimicrobial peptides.

Authors

  • Bridget A B Henson
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Fucong Li
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • José Ausencio Álvarez-Huerta
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Poornima G Wedamulla
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Arianna Valdes Palacios
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Max R M Scott
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • David Thiam En Lim
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • W M Hayden Scott
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Monica T L Villanueva
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Emily Ye
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada.
  • Suzana K Straus
    Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada. Electronic address: sstraus@chem.ubc.ca.

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