Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine learning approaches.
J. Carter, T. M. Walker, A. S. Walker, M. Whitfield, G. P. Morlock, C. I. Lynch, D. Adlard, T. E. Peto, J. E. Posey, D. W. Crook, P. W. Fowler
This paper predicts pyrazinamide resistance in Mycobacterium tuberculosis using machine learning models trained on pncA mutations and structural features, achieving 80.2% sensitivity and 76.9% specificity.
bioRxiv · Nov 14, 2023 · PreprintMicrobiology