作者: Katherine A. Abrahams , Gurdyal S. Besra
DOI: 10.1039/D0MD00261E
关键词: Drug 、 Drug resistance 、 Effective treatment 、 Identification (biology) 、 Mycobacterium tuberculosis 、 Tuberculosis 、 Computational biology 、 Drug discovery 、 Model organism 、 Medicine
摘要: Mycobacterium tuberculosis is the causative pathogen of pulmonary disease tuberculosis. Despite availability effective treatment programs, there a global pursuit new anti-tubercular agents to respond developing threat drug resistance, in addition reducing extensive duration chemotherapy and any associated toxicity. The route mycobacterial discovery can be considered from two directions: target-to-drug drug-to-target. former approach uses conventional methods including biochemical assays along with innovative computational screens, but yet yield candidates clinic, high attrition rate owing lack whole cell activity. In latter approach, compound libraries are screened for efficacy against bacilli or model organisms, ensuring activity, here subsequent target identification rate-limiting step. Advances variety scientific fields have enabled amalgamation aspects both approaches development novel tools, which now primed accelerate hits leads known targets This review discusses these traditional techniques, widely used quest compounds.