Prediction of QcrB Inhibition as a Measure of Antitubercular Activity with Machine Learning Protocols

[Image: see text] It has always been a challenge to develop interventional therapies for Mycobacterium tuberculosis. Over the years, several attempts at developing such therapies have hit a dead-end owing to rapid mutation rates of the tubercular bacilli and their ability to lay dormant for years. R...

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Detalles Bibliográficos
Autores principales: Khan, Afreen A., Poojary, Sannidhi S., Bhave, Ketki K., Nandan, Santosh R., Iyer, Krishna R., Coutinho, Evans C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161412/
https://www.ncbi.nlm.nih.gov/pubmed/35664614
http://dx.doi.org/10.1021/acsomega.2c01613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161412/
https://www.ncbi.nlm.nih.gov/pubmed/35664614
http://dx.doi.org/10.1021/acsomega.2c01613

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