Computational modelling of the antimicrobial peptides Cruzioseptin-4 extracted from the frog Cruziohyla calcarifer and Pictuseptin-1 extracted from the frog Boana picturata

Sci Rep. 2024 Feb 27;14(1):4805. doi: 10.1038/s41598-024-55171-w.

Abstract

A computational study of the peptides Cruzioseptin-4 and Pictuseptin-1, identified in Cruziohyla calcarifer and Boana picturata respectively, has been carried out. The studies on Cruzioseptin-4 show that it is a cationic peptide with a chain of 23 amino acids that possess 52.17% of hydrophobic amino acids and a charge of + 1.2 at pH 7. Similarly, Pictuseptin-1 is a 22 amino acids peptide with a charge of + 3 at pH 7 and 45.45% of hydrophobic amino acids. Furthermore, the predominant secondary structure for both peptides is alpha-helical. The physicochemical properties were predicted using PepCalc and Bio-Synthesis; secondary structures using Jpred4 and PredictProtein; while molecular docking was performed using Autodock Vina. Geometry optimization of the peptides was done using the ONIOM hybrid method with the HF/6-31G basis set implemented in the Gaussian 09 program. Finally, the molecular docking study indicates that the viable mechanism of action for both peptides is through a targeted attack on the cell membrane of pathogens via electrostatic interactions with different membrane components, leading to cell lysis.

Keywords: Boana picturata; Cruziohyla calcarifer; Antimicrobial peptides; Molecular docking; Pathogens; Physicochemical properties.

MeSH terms

  • Amino Acids
  • Animals
  • Antimicrobial Cationic Peptides* / chemistry
  • Antimicrobial Peptides*
  • Anura / metabolism
  • Molecular Docking Simulation

Substances

  • Antimicrobial Cationic Peptides
  • Antimicrobial Peptides
  • Amino Acids