From code to cure: Harnessing AI for antibiotic discovery and design.

Authors

Aarti Krishnan, Hanqun Cao, James J Collins, Cesar de la Fuente-Nunez

Published in

Science translational medicine. Volume 18. Issue 871. Pages eaee4629. Oct 14, 2026. Epub Oct 14, 2026.

Abstract

Artificial intelligence (AI) now enables the exploration of vast chemical and sequence spaces, the design of synthesizable antibiotics, and the prioritization of safe, mechanism-diverse candidates through integrated modeling and accelerated testing. Here, we survey recent advances in AI for both small-molecule and peptide antimicrobial drugs, highlight emerging data and reporting standards, and outline translational pathways and regulatory hurdles needed to bring these agents to patients.

PMID:
42873898
Bibliographic data and abstract were imported from PubMed on 15 Oct 2026.

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