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Immunometabolic Circuits in Infection for Advancing Host Directed Therapies
Published on: September 13, 2024
From code to cure: Harnessing AI for antibiotic discovery and design
Aarti Krishnan1,2,3, Hanqun Cao4,5,6,7, James J Collins1,2,3
1Institute for Medical Engineering & Science and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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.
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