Zhang Qianqian, Han Jianting, Zhu Yongchang, Yu Fansen, Hu Xiaopeng, Tong Henry H Y, Liu Huanxiang
Faculty of Applied Sciences, Macao Polytechnic University, Macao, SAR, China.
School of Pharmacy, Lanzhou University, Lanzhou, 730000, China.
J Comput Aided Mol Des. 2023 Dec;37(12):695-706. doi: 10.1007/s10822-023-00530-4. Epub 2023 Aug 29.
Multidrug-resistant tuberculosis (MDR-TB) continues to spread worldwide and remains one of the leading causes of death among infectious diseases. The enoyl-acyl carrier protein reductase (InhA) belongs to FAS-II family and is essential for the formation of the Mycobacterium tuberculosis cell wall. Recent years, InhA direct inhibitors have been extensively studied to overcome MDR-TB. However, there are still no inhibitors that have entered clinical research. Here, the ensemble docking-based virtual screening along with biological assay were used to identify potent InhA direct inhibitors from Chembridge, Chemdiv, and Specs. Ultimately, 34 compounds were purchased and first assayed for the binding affinity, of which four compounds can bind InhA well with K values ranging from 48.4 to 56.2 µM. Among them, compound 9,222,034 has the best inhibitory activity against InhA enzyme with an IC value of 18.05 µM. In addition, the molecular dynamic simulation and binding free energy calculation indicate that the identified compounds bind to InhA with "extended" conformation. Residue energy decomposition shows that residues such as Tyr158, Met161, and Met191 have higher energy contributions in the binding of compounds. By analyzing the binding modes, we found that these compounds can bind to a hydrophobic sub-pocket formed by residues Tyr158, Phe149, Ile215, Leu218, etc., resulting in extensive van der Waals interactions. In summary, this study proposed an efficient strategy for discovering InhA direct inhibitors through ensemble docking-based virtual screening, and finally identified four active compounds with new skeletons, which can provide valuable information for the discovery and optimization of InhA direct inhibitors.
耐多药结核病(MDR-TB)在全球范围内持续传播,仍然是传染病死亡的主要原因之一。烯酰基载体蛋白还原酶(InhA)属于II型脂肪酸合成酶(FAS-II)家族,对结核分枝杆菌细胞壁的形成至关重要。近年来,InhA直接抑制剂已被广泛研究以克服耐多药结核病。然而,仍没有抑制剂进入临床研究。在此,基于整合对接的虚拟筛选结合生物学测定,从Chembridge、Chemdiv和Specs中鉴定出有效的InhA直接抑制剂。最终,购买了34种化合物并首先测定其结合亲和力,其中四种化合物能与InhA良好结合,K值范围为48.4至56.2μM。其中,化合物9,222,034对InhA酶具有最佳抑制活性,IC值为18.05μM。此外,分子动力学模拟和结合自由能计算表明,鉴定出的化合物以“伸展”构象与InhA结合。残基能量分解表明,Tyr158、Met161和Met191等残基在化合物结合中具有较高的能量贡献。通过分析结合模式,我们发现这些化合物可以结合到由Tyr158、Phe149、Ile215、Leu218等残基形成的疏水亚口袋中,从而产生广泛的范德华相互作用。总之,本研究提出了一种通过基于整合对接的虚拟筛选发现InhA直接抑制剂的有效策略,最终鉴定出四种具有新骨架的活性化合物,可为InhA直接抑制剂的发现和优化提供有价值的信息。