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Article

Rapid, accurate, and reproducible de novo prediction of resistance to antituberculars.

mSphere - 29 Oct 2025

Zhang Xibei, Wan Shunzhou, Bhati Agastya P, Fowler Philip W, Coveney Peter V

Abstract excerpt

As one of the deadliest infectious diseases in the world, tuberculosis is responsible for millions of new cases and deaths reported annually. The rise of drug-resistant tuberculosis, particularly resistance to first-line treatments like rifampicin, presents a critical challenge for global health, which complicates the treatment strategies and calls for effective diagnostic and predictive tools. In this study, we...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 40980905
DOI: 10.1128/msphere.00571-25
PMCID: PMC12577733

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