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Glenn P. Morlock

Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination

Atlanta, GA

United States

SCHOLARLY PAPERS

1

DOWNLOADS

35

TOTAL CITATIONS

3

Scholarly Papers (1)

1.

Prediction of Pyrazinamide Resistance in Mycobacterium Tuberculosis Using Structure-Based Machine Learning Approaches

Number of pages: 37 Posted: 22 May 2019
University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, Stellenbosch University, Faculty of Medicine and Health Sciences, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, SAMRC Centre, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination, University of Oxford - Nuffield Department of Medicine and University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital
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Citation 3

Abstract:

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tuberculosis, antimicrobial resistance, pyrazinamide, prediction, Machine Learning, protein structure, Mycobacterium tuberculosis