Artificial intelligence drives the identification and screening of novel antibiotics and antimicrobial peptides
Abstract
The discovery of new antimicrobial drugs has become urgent due to the growing threat of antimicrobial resistance in the 21st century. However, high-throughput screening is costly and time-consuming. Artificial intelligence (AI) can facilitate the discovery of novel antibiotics and antimicrobial peptides (AMPs) by accelerating identification and reducing development costs. This review focuses on the application of artificial intelligence in the discovery of novel antibiotics and AMPs, highlighting recent advances and practical strategies in AI-driven antibacterial drug development. Ultimately, this article aims to provide practical support and guidance for researchers in antimicrobial discovery, thereby contributing to resolving the global health crisis.
Fields of Study & Subjects
Antimicrobial Peptides and Activities
Microbial Natural Products and Biosynthesis
Biochemical and Structural Characterization
Publication details
- Journal / source
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Volume
- 27
- Issue
- 2
- Publication date
- 1 March 2026
- Language
- EN