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Peer-Reviewed Publication
NPJ Drug Discov2026;3(1):11.January 1, 2026Journal Article

A Metabolism-Informed Neural Network Identifies Pathways Influencing the Potency and Toxicity of Antimicrobial Combinations.

Harkirat Singh Arora1, Katherine Lev2, Aaron Robida3, Ramraj Velmurugan4, Sriram Chandrasekaran1,2
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48105 USA.
2Program in Chemical Biology, University of Michigan, Ann Arbor, MI 48105 USA.
3Center for Chemical Genomics, University of Michigan, Ann Arbor, MI 48105 USA.
4Komodo Health Inc., San Francisco, CA 94105 USA.
PubMed PMC DOI PDF

Abstract

Antimicrobial resistance poses a major global threat, driven by diminishing efficacy of current treatments and limited new therapies. Combination therapy with existing drugs offers a promising solution, yet current empirical screening methods are expensive and often lead to suboptimal efficacy and inadvertent toxicity. We introduce CALMA, a computational framework that quantitatively analyzes the…

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