A Metabolism-Informed Neural Network Identifies Pathways Influencing the Potency and Toxicity of Antimicrobial Combinations
that were antagonistic for kidney and liver toxicity and uncovered the nucleotide salvage pathway as a selective influencer of toxicity, which was validated in vitro. Mining of health records of over 400,000 patients showed reduced frequency of kidney side-effects in patients taking a vancomycin combination identified by CALMA. CALMA provides a rational, mechanistic approach to streamline combination treatment design.
Authors
- Ramraj Velmurugan (ORCID: https://orcid.org/0000-0003-0988-6699)
- Harkirat Singh Arora (ORCID: https://orcid.org/0000-0001-6866-8814)
- Katherine L. Lev (ORCID: https://orcid.org/0000-0002-8612-0972)
- Sriram Chandrasekaran
- Aaron Robida
Institutions
- University of Michigan (US)
- San Francisco Department of Public Health (US)
Publication Details
- Journal
- npj Drug Discovery.
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1038/s44386-026-00042-9
- Primary Topic
- Microbial Metabolic Engineering and Bioproduction
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- National Institute of General Medical Sciences
- National Institute of Allergy and Infectious Diseases