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Current Protein & Peptide Science

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ISSN (Print): 1389-2037
ISSN (Online): 1875-5550

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Review Article

Anti-microbial Peptides against Methicillin-resistant Staphylococcus aureus: Promising Therapeutics

Author(s): Priyanka Sinoliya, Pooran Singh Solanki, Sakshi Piplani, Ravi Ranjan Kumar Niraj* and Vinay Sharma*

Volume 24, Issue 2, 2023

Published on: 06 January, 2023

Page: [156 - 177] Pages: 22

DOI: 10.2174/1389203724666221216115850

Price: $65

Abstract

Background: Multidrug-resistant (MDR) methicillin-resistant Staphylococcus aureus (MRSA) has become a prime health concern globally. These bacteria are found in hospital areas where they are regularly dealing with antibiotics. This brings many possibilities for its mutation, so drug resistance occurs.

Introduction: Nowadays, these nosocomial MRSA strains spread into the community and live stocks. Resistance in Staphylococcus aureus is due to mutations in their genetic elements.

Methods: As the bacteria become resistant to antibiotics, new approaches like antimicrobial peptides (AMPs) play a vital role and are more efficacious, economical, time, and energy saviours.

Results: Machine learning approaches of Artificial Intelligence are the in silico technique which has their importance in better prediction, analysis, and fetching of important details regarding AMPs.

Conclusion: Anti-microbial peptides could be the next-generation solution to combat drug resistance among Superbugs. For better prediction and analysis, implementing the in silico technique is beneficial for fast and more accurate results.

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