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用于鉴定结核分枝杆菌黄素酶DprE1抑制剂的虚拟筛选和自由能估计

Virtual screening and free energy estimation for identifying Mycobacterium tuberculosis flavoenzyme DprE1 inhibitors.

作者信息

Srivastava Rakesh, Prakash Amresh, Lynn Andrew M

机构信息

School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.

Amity Institute of Integrative Sciences and Health, Amity University, Haryana, Gurgaon, 122413, India.

出版信息

J Mol Graph Model. 2021 Jan;102:107770. doi: 10.1016/j.jmgm.2020.107770. Epub 2020 Oct 7.

DOI:10.1016/j.jmgm.2020.107770
PMID:33065513
Abstract

In Mycobacterium tuberculosis (MTB), the cell wall synthesis flavoenzyme decaprenylphosphoryl-β-d-ribose 2'-epimerase (DprE1) plays a crucial role in host pathogenesis, virulence, lethality and survival under stress. The emergence of different variants of drug resistant MTB are a major threat worldwide which essentially requires more effective new drug molecules with no major side effects. Here, we used structure based virtual screening of bioactive molecules from the ChEMBL database targeting DprE1, having bioactive 78,713 molecules known for anti-tuberculosis activity. An extensive molecular docking, binding affinity and pharmacokinetics profile filtering results in the selection four compounds, C5 (ChEMBL2441313), C6 (ChEMBL2338605), C8 (ChEMBL441373) and C10 (ChEMBL1607606) which may explore as potential drug candidates. The obtained results were validated with thirteen known DprE1 inhibitors. We further estimated the free-binding energy, solvation and entropy terms underlying the binding properties of DprE1-ligand interactions with the implication of MD simulation, MM/GBSA, MM/PBSA and MM/3D-RISM. Interestingly, we find that C6 shows the highest ΔG scores (-41.28 ± 3.51, -22.36 ± 3.17, -10.33 ± 5.70 kcal mol) in MM/GBSA, MM/PBSA and MM/3D-RISM assay, respectively. Whereas, the lowest ΔG scores (-35.31 ± 3.44, -13.67 ± 2.65, -3.40 ± 4.06 kcal mol) observed for CT319, the inhibitor co-crystallized with DprE1. Collectively, the results demonstrated that hit-molecules: C5, C6, C8 and C10 having better binding free energy and molecular affinity as compared to CT319. Thus, we proposed that selected compounds may be explored as lead molecules in MTB therapy.

摘要

在结核分枝杆菌(MTB)中,细胞壁合成黄素酶十聚异戊二烯磷酸化-β-d-核糖2'-表异构酶(DprE1)在宿主发病机制、毒力、致死率及应激下的存活中发挥着关键作用。耐多药结核分枝杆菌不同变体的出现是全球范围内的重大威胁,这从根本上需要更有效的、无重大副作用的新型药物分子。在此,我们基于结构对来自ChEMBL数据库的针对DprE1的生物活性分子进行虚拟筛选,该数据库中有78,713个具有抗结核活性的已知生物活性分子。广泛的分子对接、结合亲和力和药代动力学概况筛选,最终选出四种化合物,即C5(ChEMBL2441313)、C6(ChEMBL2338605)、C8(ChEMBL441373)和C10(ChEMBL1607606),它们可能被开发为潜在的候选药物。所得结果用13种已知的DprE1抑制剂进行了验证。我们还通过分子动力学模拟、MM/GBSA、MM/PBSA和MM/3D-RISM估算了DprE1-配体相互作用结合特性背后的自由结合能、溶剂化和熵项。有趣的是,我们发现C6在MM/GBSA、MM/PBSA和MM/3D-RISM分析中分别显示出最高的ΔG分数(-41.28 ± 3.51、-22.36 ± 3.17、-10.33 ± 5.70 kcal/mol)。而与DprE1共结晶的抑制剂CT319的ΔG分数最低(-35.31 ± 3.44、-13.67 ± 2.65、-3.40 ± 4.06 kcal/mol)。总体而言,结果表明命中分子C5、C6、C8和C10与CT319相比具有更好的结合自由能和分子亲和力。因此,我们提出所选化合物可作为结核分枝杆菌治疗中的先导分子进行探索。

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