Predicting rifampicin resistance in M. tuberculosis using machine learning informed by protein structural and chemical features
<p><strong>Background:</strong> Rifampicin remains a key an2bio2c in the treatment of advances in cataloguing resistance-associated variants (RAVs), novel and rare relevant gene, rpoB, will be encountered in clinical samples, complicating the to predict whether a sample is resistan...
| Principais autores: | , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
European Respiratory Society
2025
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