Deciphering anti-biofilm property of Arthrospira platensis-origin peptides against Staphylococcus aureus

  • Yosef Masoudi-Sobhanzadeh
  • , Mohammad M. Pourseif
  • , Ava Khalili-Sani
  • , Behzad Jafari
  • , Aysan Salemi
  • , Yadollah Omidi

Research output: Contribution to journalArticlepeer-review

Abstract

Arthrospira platensis is a valuable natural health supplement consisting of various types of vitamins, dietary minerals, and antioxidants. Although different studies have been conducted to explore the hidden benefits of this bacterium, its antimicrobial property has been poorly understood. To decipher this important feature, here, we extended our recently introduced optimization algorithm (Trader) for aligning amino acid sequences associated with the antimicrobial peptides (AMPs) of Staphylococcus aureus and A. platensis. As a result, similar amino acid sequences were identified, and several candidate peptides were generated accordingly. The obtained peptides were then filtered based on their potential biochemical and biophysical properties, and their 3D structures were simulated based on homology modeling techniques. Next, to investigate how the generated peptides can interact with S. aureus proteins (i.e., heptameric state of the hly and homodimeric form of the arsB), molecular docking approaches were used. The results indicated that four peptides included better molecular interactions relative to the other generated ones in terms of the number/average length of hydrogen bonds and hydrophobic interactions. Based on the outcomes, it can be concluded that the antimicrobial property of A. platensis might be associated with its capability in disturbing the membrane of pathogens and their functions.
Original languageEnglish
Article number106975
JournalComputers in Biology and Medicine
Volume160
DOIs
StatePublished - Jun 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Ltd

ASJC Scopus Subject Areas

  • Health Informatics
  • Computer Science Applications

Keywords

  • Amino acid sequence analysis
  • Antimicrobial peptides
  • Arthrospira platensis
  • Molecular docking
  • Trader algorithm

Disciplines

  • Bioinformatics
  • Computer Sciences

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