A review on the diversity of antimicrobial peptides and genome mining strategies for their prediction DOI Creative Commons
Naveen Kumar, Prashant Bhagwat, Suren Singh

et al.

Biochimie, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Antibiotic resistance has become one of the most serious threats to human health in recent years. In response increasing microbial antibiotics currently available, it is imperative develop new or explore approaches combat antibiotic resistance. Antimicrobial peptides (AMPs) have shown considerable promise this regard, as microbes low no against them. The discovery and development AMPs still confront numerous obstacles such finding a target, developing assays, identifying hits leads, which are time-consuming processes, making difficult reach market. However, with advent genome mining, could be discovered efficiently using tools BAGEL, antiSMASH, RODEO, etc., providing hope for better treatment diseases future. Computational methods used mining automatically detect annotate biosynthetic gene clusters genomic data, useful tool natural product discovery. This review aims shed light on history, diversity, mechanisms action data identified by traditional well strategies. It further substantiates various phases clinical trials some AMPs, an overview databases built expressly AMP advancements, evident that targeted stands beacon hope, offering immense potential expedite novel antimicrobials.

Language: Английский

Microbial Bio-refineries: Engineering Microbes for the Production of Versatile Short-Chain Organic Acids DOI
Anuradha Singh,

Javeria,

Kavya Singh

et al.

Indian Journal of Microbiology, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Language: Английский

Citations

0
A review on the diversity of antimicrobial peptides and genome mining strategies for their prediction DOI Creative Commons
Naveen Kumar, Prashant Bhagwat, Suren Singh

et al.

Biochimie, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Antibiotic resistance has become one of the most serious threats to human health in recent years. In response increasing microbial antibiotics currently available, it is imperative develop new or explore approaches combat antibiotic resistance. Antimicrobial peptides (AMPs) have shown considerable promise this regard, as microbes low no against them. The discovery and development AMPs still confront numerous obstacles such finding a target, developing assays, identifying hits leads, which are time-consuming processes, making difficult reach market. However, with advent genome mining, could be discovered efficiently using tools BAGEL, antiSMASH, RODEO, etc., providing hope for better treatment diseases future. Computational methods used mining automatically detect annotate biosynthetic gene clusters genomic data, useful tool natural product discovery. This review aims shed light on history, diversity, mechanisms action data identified by traditional well strategies. It further substantiates various phases clinical trials some AMPs, an overview databases built expressly AMP advancements, evident that targeted stands beacon hope, offering immense potential expedite novel antimicrobials.

Language: Английский

Citations

0