虚拟筛选
结核分枝杆菌
运输机
高通量筛选
分子动力学
吞吐量
计算生物学
动力学(音乐)
化学
纳米技术
肺结核
生物
计算机科学
生物化学
材料科学
基因
物理
医学
计算化学
电信
病理
声学
无线
作者
Hetanshi Choksi,Justin Carbone,Nicholas J. Paradis,Lucas Bennett,Candice Bui-Linh,Chun Wu
出处
期刊:ACS omega
[American Chemical Society]
日期:2024-03-12
卷期号:9 (12): 13782-13796
被引量:1
标识
DOI:10.1021/acsomega.3c08401
摘要
Tuberculosis (TB)-causing bacterium Mycobacterium tuberculosis (Mtb) utilizes mycolic acids for building the mycobacterial cell wall, which is critical in providing defense against external factors and resisting antibiotic action. MmpL3 is a secondary resistance nodulation division transporter that facilitates the coupled transport of mycolic acid precursor into the periplasm using the proton motive force, thus making it an attractive drug target for TB infection. In 2019, X-ray crystal structures of MmpL3 from M. smegmatis were solved with a promising inhibitor SQ109, which showed promise against drug-resistant TB in Phase II clinical trials. Still, there is a pressing need to discover more effective MmpL3 inhibitors to counteract rising antibiotic resistance. In this study, structure-based high-throughput virtual screening combined with molecular dynamics (MD) simulations identified potential novel MmpL3 inhibitors. Approximately 17 million compounds from the ZINC15 database were screened against the SQ109 binding site on the MmpL3 protein using drug property filters and glide XP docking scores. From this, the top nine compounds and the MmpL3–SQ109 crystal complex structure each underwent 2 × 200 ns MD simulations to probe the inhibitor binding energetics to MmpL3. Four of the nine compounds exhibited stable binding properties and favorable drug properties, suggesting these four compounds could be potential novel inhibitors of MmpL3 for M. tuberculosis.
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