英哈
化学
抗细菌
噻唑
结核分枝杆菌
还原酶
生物化学
香豆素
酶
活动站点
立体化学
肺结核
医学
病理
有机化学
作者
Asmaa F. Kassem,Ahmed Sabt,Małgorzata Korycka-Machała,Moataz A. Shaldam,Malwina Kawka,Bożena Dziadek,Magdalena Kuzioła,Jarosław Dziadek,Rasha Z. Batran
标识
DOI:10.1016/j.bioorg.2024.107511
摘要
Tuberculosis is a global serious problem that imposes major health, economic and social challenges worldwide. The search for new antitubercular drugs is extremely important which could be achieved via inhibition of different druggable targets. Mycobacterium tuberculosis enoyl acyl carrier protein reductase (InhA) enzyme is essential for the survival of M. tuberculosis. In this investigation, a series of coumarin based thiazole derivatives were synthesized relying on a molecular hybridization approach and was assessed against the wild type Mtb H37Rv and its mutant strain (ΔkatG) via inhibiting InhA enzyme. Among the synthesized derivatives, compounds 2b, 3i and 3j were the most potent against wild type M. tuberculosis with MIC values ranging from 6 to 8 μg/ mL and displayed low cytotoxicity towards mouse fibroblasts at concentrations 8–13 times higher than the MIC values. The three hybrids could also inhibit the growth of the ΔkatG mutant strain which is resistant to isoniazid (INH). Compounds 2b and 3j were able to inhibit the growth of mycobacteria inside human macrophages, indicating their ability to penetrate human professional phagocytes. The two derivatives significantly suppress mycobacterial biofilm formation by 10–15 %. The promising target compounds were also assessed for their inhibitory effect against InhA and showed potent effectiveness with IC50 value of 0.737 and 1.494 µM, respectively. Molecular docking studies revealed that the tested compounds occupied the active site in contact with the NAD+ molecule. The 4-phenylcoumarin aromatic system showed binding interactions within the hydrophobic pocket of the InhA active site. Furthermore, H-bond formation and π −π stacking interactions were also recorded for the promising derivatives.
科研通智能强力驱动
Strongly Powered by AbleSci AI