Recent Applications of Artificial Intelligence in Discovery of New Antibacterial Agents

Youcef Bagdad, Maria A Miteva Université Paris Cité, CNRS UMR 8038 CiTCoM, Inserm U1268 MCTR, Paris, FranceCorrespondence: Maria A Miteva, Université Paris Cité - CNRS UMR 8038 CiTCoM, Inserm U1268 MCTR, 4 Av. de l’Observatoire, Paris, 75006, France, Email [email protected]: Antimicrobial resistance (AMR) represents today a major challenge for global public health, compromising the effectiveness of treatments against a multitude of bacterial infections. In recent decades, artificial intelligence (AI) has emerged as a promising technology for the identification and development of new antibacterial agents. This review focuses on AI methodologies applied to discover new antibacterial candidates. Case studies that identified small molecules and peptides showing antimicrobial activity and demonstrating efficiency against pathogenic resistant bacteria by employing AI are summarized. We also discuss the challenges and opportunities offered by AI, highlighting the importance of AI progress for the identification of new promising antibacterial drug candidates to combat the AMR.Keywords: artificial intelligence, drug discovery, antibacterial agents, antimicrobial resistance