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For: Liebenberg D, Gordhan BG, Kana BD. Drug resistant tuberculosis: Implications for transmission, diagnosis, and disease management. Front Cell Infect Microbiol 2022;12:943545. [DOI: 10.3389/fcimb.2022.943545] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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1 Radchenko EV, Antonyan GV, Ignatov SK, Palyulin VA. Machine Learning Prediction of Mycobacterial Cell Wall Permeability of Drugs and Drug-like Compounds. Molecules 2023;28. [PMID: 36677691 DOI: 10.3390/molecules28020633] [Reference Citation Analysis]
2 Greenstein T, Aldridge BB. Tools to develop antibiotic combinations that target drug tolerance in Mycobacterium tuberculosis. Front Cell Infect Microbiol 2023;12. [DOI: 10.3389/fcimb.2022.1085946] [Reference Citation Analysis]
3 Li S, Chen W, Feng M, Liu Y, Wang F. Drug Resistance and Molecular Characteristics of Mycobacterium tuberculosis: A Single Center Experience. J Pers Med 2022;12. [PMID: 36556308 DOI: 10.3390/jpm12122088] [Reference Citation Analysis]
4 Manu P, Rogozea LM. Pharmacological Management of Pulmonary Tuberculosis: A Century of Expert Opinions in Cecil Textbook of Medicine. Am J Ther 2022;29:e625-31. [PMID: 36301538 DOI: 10.1097/MJT.0000000000001575] [Reference Citation Analysis]