In Silico Identification of Potential Insect Peptides against Biofilm-Producing Staphylococcus aureus

Chem Biodivers. 2022 Oct;19(10):e202200494. doi: 10.1002/cbdv.202200494. Epub 2022 Oct 5.

Abstract

Biofilm-producing Staphylococcus aureus (SA) strains are frequently found in medical environments, from surgical/ wound sites, medical devices. These biofilms reduce the efficacy of applied antibiotics during the treatment of several infections, such as cystic fibrosis, endocarditis, or urinary tract infections. Thus, the development of potential therapeutic agents to destroy the extra protective biofilm layers or to inhibit the biofilm-producing enzymes is urgently needed. Advanced and cost-effective bioinformatics tools are advantageous in locating and speeding up the selection of antibiofilm candidates. Based on the potential drug characteristics, we have selected one-hundred thirty-three antibacterial peptides derived from insects to assess for their antibiofilm potency via molecular docking against five putative biofilm formation and regulated target enzymes: the staphylococcal accessory regulator A or SarA (PDB ID: 2FRH), 4,4'-diapophytoene synthase or CrtM (PDB ID: 2ZCQ), clumping factor A or ClfA (PDB ID: 1N67) and serine-aspartate repeat protein C or SdrC (PDB ID: 6LXH) and sortase A or SrtA (PDB ID: 1T2W) of SA bacterium. In this study, molecular docking was performed using HPEPDOCK and HDOCK servers, and molecular interactions were examined using BIOVIA Discovery Studio Visualizer-2019. The docking score (kcal/mol) range of five promising antibiofilm peptides against five targets was recorded as follows: diptericin A (-215.52 to -303.31), defensin (-201.11 to -301.92), imcroporin (-212.08 to -287.64), mucroporin (-228.72 to -286.76), apidaecin II (-203.90 to -280.20). Among these five, imcroporin and mucroporin were 13 % each, while defensin contained only 1 % of positive net charged residues (Arg+Lys) projected through ProtParam and NetWheels tools. Similarly, imcroporin, mucroporin and apidaecin II were 50 %, while defensin carried 21.05 % of hydrophobic residues predicted by the tool PEPTIDE. 2.0. Most of the peptides exhibited potential characteristics to inhibit S. aureus-biofilm formation via disrupting the cell membrane and cytoplasmic integrity. In summary, the proposed hypothesis can be considered a cost-effective platform for selecting the most promising bioactive drug candidates within a limited timeframe with a greater chance of success in experimental and clinical studies.

Keywords: Staphylococcus aureus biofilm; antibacterial bioactive peptides; computer-aided drug discovery; molecular docking; peptides from insect source; phylogenetic tree.

MeSH terms

  • Animals
  • Anti-Bacterial Agents / pharmacology
  • Aspartic Acid / pharmacology
  • Aspartic Acid / therapeutic use
  • Biofilms
  • Defensins / pharmacology
  • Defensins / therapeutic use
  • Insecta
  • Microbial Sensitivity Tests
  • Molecular Docking Simulation
  • Protein C / pharmacology
  • Protein C / therapeutic use
  • Serine / pharmacology
  • Serine / therapeutic use
  • Staphylococcal Infections* / drug therapy
  • Staphylococcus aureus*

Substances

  • Protein C
  • Aspartic Acid
  • Anti-Bacterial Agents
  • Defensins
  • Serine