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通过基于 3D-QSAR 的药效团建模、虚拟筛选、分子对接和分子动力学模拟研究发现具有潜在抗结核活性的新型吡唑衍生物。

Discovery of newer pyrazole derivatives with potential anti-tubercular activity via 3D-QSAR based pharmacophore modelling, virtual screening, molecular docking and molecular dynamics simulation studies.

机构信息

Department of Pharmaceutical Chemistry, L. M. College of Pharmacy, Ahmedabad, Gujarat, 380009, India.

L. J. Institute of Pharmacy, L J University, Ahmedabad, Gujarat, 382 210, India.

出版信息

Mol Divers. 2023 Aug;27(4):1547-1566. doi: 10.1007/s11030-022-10511-8. Epub 2022 Aug 15.

Abstract

Tuberculosis is one of the leading causes of death of at least one million people annually. The deadliest infectious disease has caused more than 120 million deaths in humans since 1882. The cell wall structure of Mycobacterium tuberculosis is important for survival in the host environment. InhA is the foremost target for the development of novel anti-tubercular agents. Therefore, we report pharmacophore-based virtual screening (ZINC and ASINEX databases) and molecular docking study (PDB Code: 4TZK) to identify and design potent inhibitors targeting to InhA. A five-point pharmacophore model AADHR_1 (with R = 0.97 and Q = 0.77) was developed by using 47 compounds with its reported MIC values. Further, to identify and design potent hit molecules based on lead identification and modification, generated hypothesis employed for virtual screening using ZINC and ASINEX databases. Predicted pyrazole derivatives further gauged for drug likeliness and docked against enoyl acyl carrier protein reductase to categorize the essential amino acid interactions to the active site of the enzyme. Structure elucidation of these synthesized compounds was carried out using IR, MS, 1H-NMR and 13C-NMR spectroscopy. Amongst all the synthesized compounds, some of the compounds 5a, 5c, 5d and 5e were found to be potent with their MIC ranging from 2.23 to 4.61 µM. Based on preliminary anti-tubercular activity synthesized potent molecules were further assessed for MDR-TB, XDR-TB and cytotoxic study.

摘要

结核病是导致至少 100 万人每年死亡的主要原因之一。自 1882 年以来,这种最致命的传染病已导致 1.2 亿多人死亡。结核分枝杆菌的细胞壁结构对于在宿主环境中生存很重要。inhA 是开发新型抗结核药物的首要靶标。因此,我们报告了基于药效团的虚拟筛选(ZINC 和 ASINEX 数据库)和分子对接研究(PDB 代码:4TZK),以鉴定和设计针对 inhA 的有效抑制剂。通过使用具有报道的 MIC 值的 47 种化合物,开发了一个五点点药效团模型 AADHR_1(R=0.97,Q=0.77)。此外,为了基于先导化合物的识别和修饰来鉴定和设计有效命中分子,生成了假设,用于使用 ZINC 和 ASINEX 数据库进行虚拟筛选。进一步预测吡唑衍生物的药物相似性,并对接烯酰基辅酶 A 还原酶,以确定与酶活性位点的必需氨基酸相互作用。使用 IR、MS、1H-NMR 和 13C-NMR 光谱对这些合成化合物的结构进行了阐明。在所合成的化合物中,一些化合物 5a、5c、5d 和 5e 具有较高的活性,其 MIC 范围为 2.23 至 4.61 μM。基于初步的抗结核活性,进一步评估了合成的有效分子对 MDR-TB、XDR-TB 和细胞毒性的作用。

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