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Feature-based in-silico model to predict the <i>Mycobacterium tuberculosis</i> bedaquiline phenotype associated with Rv0678 variants

2026-02-14

Abstract excerpt

<h4>ABSTRACT</h4> Bedaquiline resistance is emerging globally and threatens the effectiveness of the novel short all-oral regimens for rifampicin-resistant tuberculosis. Following a systematic literature review, we quantified 13 sequence, biochemical, and structural features of 62 Rv0678 missense variants reported in 136 Mycobacterium tuberculosis isolates. Using rigorous machine learning methods, we show that...

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Literature Corpus work
c1fb962f-c52c-5278-8218-b2b6a3767e3f
DOI
10.64898/2026.02.12.705543
Open publication

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Feature-based in-silico model to predict the <i>Mycobacterium tuberculosis</i> bedaquiline phenotype associated with Rv0678 variantsDOI 10.64898/2026.02.12.705543
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