Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Antimicrobial peptides are promising tools to fight against ever-growing antibiotic resistance. However, despite many advantages, their toxicity to mammalian cells is a critical obstacle in clinical application and needs to be addressed.

Authors

  • Hossein Khabbaz
    Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
  • Mohammad Hossein Karimi-Jafari
    Department of Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. mhkarimijafari@ut.ac.ir.
  • Ali Akbar Saboury
    Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. saboury@ut.ac.ir.
  • Bagher BabaAli
    School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran.