Integration of Machine Learning and Structural Analysis for Predicting Peptide Antibiofilm Effects: Advancements in Drug Discovery for Biofilm-Related Infections.

Journal: Iranian journal of pharmaceutical research : IJPR
Published Date: Sep 30, 2023

Abstract

BACKGROUND: The rise of antibiotic resistance has become a major concern, signaling the end of the golden age of antibiotics. Bacterial biofilms, which exhibit high resistance to antibiotics, significantly contribute to the emergence of antibiotic resistance. Therefore, there is an urgent need to discover new therapeutic agents with specific characteristics to effectively combat biofilm-related infections. Studies have shown the promising potential of peptides as antimicrobial agents.

Authors

  • Fatemeh Ebrahimi Tarki
    Department of Biotechnology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran.
  • Mahboobeh Zarrabi
    Department of Biotechnology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran.
  • Ahya Abdiali
    Department of Microbiology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran.
  • Mahkame Sharbatdar
    Department of Mechanical Engineering, Khajeh Nasir Toosi University of Technology, Tehran, Iran.

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