Predicting antibiotic resistance in complex protein targets using alchemical free energy methods-Reference-Cited by-同舟云学术

Predicting antibiotic resistance in complex protein targets using alchemical free energy methods

Published:2022-08-25 Issue:26 Volume:43 Page:1771-1782
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J Comput Chem

Author:

Brankin Alice E.¹^ORCID,Fowler Philip W.¹²^ORCID

Affiliation:

1. Nuffield Department of Medicine, John Radcliffe Hospital University of Oxford Oxford UK

2. National Institute of Health Research Oxford Biomedical Research Centre John Radcliffe Hospital Oxford UK

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.26979

Reference42 articles.

1. World Health Organization (WHO) Rapid communication: Key changes to treatment of multidrug‐ and rifampicin‐resistant tuberculosis (MDR/RR‐TB)2018.

2. World Health Organization (WHO) Catalogue of mutations inMycobacterium tuberculosiscomplex and their association with drug resistance. License: CC BY‐NC‐SA 3.0 IGO.2021.

3. The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis

4. A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics

5. Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing

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