The Application of Artificial Intelligence in Antibiotic Discovery: An Overview of Current and Future Perspective

Abstract

Innovative techniques for antibiotic discovery are required to hasten the development of effective therapies as the worldwide burden of antibiotic resistance rises. Artificial intelligence, a technological revolution in full swing, offers a hopeful future by removing bottlenecks in the pipeline for discovering new antibiotics. This review highlights how improvements in artificial intelligence are reviving the use of earlier antibiotic discovery approaches, including small molecule screening and natural product exploration. The use of modern machine learning techniques in new fields of antibiotic discovery, such as antibacterial systems biology, drug combination creation, antimicrobial peptide identification, and mechanism of action prediction, is then examined. Finally, we make a call to action for multidisciplinary collaboration and free access to high-quality screening datasets to hasten the development of novel antibiotic medications and the training of machine learning models.