Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine-learning approaches is a research paper published in JAC-Antimicrobial Resistance (2024). On theSindex it has a DataRank of 0. It has been cited 23 times.
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Wellcome Trust
Grant: 200205/Z/15/Z
Wellcome Trust
Grant: 214560/Z/18/Z
Wellcome Trust
Grant: 200205
Comprehensive Resistance Prediction for Tuberculosis: an International Consortium (CRyPTIC)
National Health and Medical Research Council (NHMRC)
Grant: 1133541
Communication, quality of life and advance care planning for people with motor neurone disease and their caregiver.
Wellcome Trust
Grant: 214560
How do people get multi-drug resistant tuberculosis?
European Commission
Grant: 823712
A Centre of Excellence in Computational Biomedicine
National Institutes of Health
Grant: 5R01AI099026-03
Optimizing the impact of Xpert MTB/RIF on treatment outcomes of drug resistant TB
Claude Leon Foundation
TORCH
EPSRC
European Commission
National Institutes of Health
NIHR Senior Investigators
Bill and Melinda Gates Foundation
NIHR Academic Clinical Lecturer
NHS
Rhodes Trust
US Department of Health and Human Services
National Institute for Health Research (NIHR)
South African Medical Research Council
Wellcome Trust
Centers for Disease Control and Prevention
Flemish Fund for Scientific Research
National Institute for Health Research Health Protection Research Unit
Newton Fund-MRC
Oxford Biomedical Research Centre
Public Health England
Wellcome Trust
FWCI
5.27
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals