THE USE OF AI IN FINDING NEW ANTIMICROBIALS

10.62591/Scien.Tech.Bull-Chem.FoodSci.Eng.2025.22.05

Abstract

The pressing need for new antimicrobial drugs has been highlighted by the growing problem
of antimicrobial resistance (AMR). The quick creation of efficient medicines is hampered by the timeconsuming
and expensive nature of traditional drug discovery techniques. Artificial intelligence (AI)
has recently surfaced as a potentially useful technology to speed up the discovery of novel
antimicrobials. From anticipating chemical interactions to improving drug candidates, artificial
intelligence (AI) technologies including machine learning, deep learning, and natural language
processing have been used at different phases of antimicrobial development. AI can find previously
undiscovered chemicals and forecast their effectiveness against resistant infections by examining
enormous datasets of chemical structures, biological activity, and genomic data. This study examines
the use of AI in antimicrobial drug discovery, emphasizing how it can expedite the drug development
process, increase target identification precision, and encourage the creation of new compounds with
improved potency and selectivity. We also go over the drawbacks and difficulties of incorporating
AI into antimicrobial research, such as the requirement for interdisciplinary cooperation, data quality,
and model interpretability. Finally, AI-driven strategies present a promising opportunity to tackle the
worldwide AMR epidemic and quicken the creation of critically required antibiotic treatments. As an
alternative to traditional antibiotics, antimicrobial peptides (AMPs) show promise as agents against
antimicrobial resistance. AMP discovery was transformed by artificial intelligence (AI) using both
generation and discrimination techniques. The vast field of drug discovery is always looking for new
and creative ways to find and create peptide-based medicines. The development of novel peptide
medications has undergone a radical change since the introduction of artificial intelligence (AI). A
variety of computer tools and algorithms provided by AI allow researchers to expedite the
development of therapeutic peptides.