采用分子模型方法评估合成药物和天然药物对子宫内膜异位症的相对疗效

Indra Singh, Ranjit Shaw, Pritha Saha, Krishna Kumar Ojha, Radha Chaube
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引用次数: 0

摘要

背景:子宫内膜异位症是一种发病率高、后果严重的慢性炎症。事实证明,一些合成化合物可以通过抑制芳香化酶来治疗子宫内膜异位症的症状。然而,合成药物会产生一些副作用,包括头痛、骨质疏松等。在这种情况下,人们开始寻找基于天然化合物的治疗配方。因此,本研究旨在利用生物信息学方法,评估用于治疗子宫内膜异位症的合成药物和天然药物的疗效比较。研究方法采用 CB-Dock 对芳香化酶与两种合成药物和三种天然药物进行分子对接,以预测它们的分子相互作用和结合亲和力。进一步对姜黄素-芳香化酶复合物进行 MD 模拟,以确定其稳定性,并将其应用于基于天然化合物的计算机辅助药物发现。结果:观察到姜黄素与芳香化酶的结合相互作用更大。复合物的 RMSD 曲线、氢键、RMSF 值和 Rg 值在 50 ns 后趋于稳定,这表明姜黄素-芳香化酶复合物的结合姿态稳定。结论这些分子内研究结果为提出姜黄素可作为一种潜在的结合剂来抑制芳香化酶以治疗子宫内膜异位症提供了依据。分子建模和动力学结果表明,姜黄素和芳香化酶形成了稳定的复合物,姜黄素可以作为治疗子宫内膜异位症的靶向药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating the Relative Efficacy of Synthetic and Natural Drugs in Endometriosis Adopting Molecular Modelling Approach
Background: Endometriosis is a chronic inflammatory condition of high incidence and with serious consequences. Several synthetic compounds proved to be useful in treating its symptoms by inhibiting aromatase, which is responsible for the pathogenesis of this painful illness. Nevertheless, synthetic drugs inflict several side effects, including headaches, osteoporosis, and so on. This scenario advocates the search for therapeutic formulations based on natural compounds. Thus, the present study was hypothesized to evaluate the comparative efficacy of the synthetic and natural drugs used in endometriosis, using the bioinformatics approach. Methods: CB-Dock was employed to perform molecular docking of the aromatase enzyme with two synthetic and three natural drugs for predicting their molecular interactions, and binding affinities. The curcumin-aromatase complex was further subjected to MD simulations to determine its stability, and to apply it to natural compound-based computer-aided drug discovery. Results: Curcumin was observed to dock with a greater binding interaction with aromatase. The RMSD profile, hydrogen bonds, and the RMSF and Rg values of the complex were stabilised after 50 ns, which was an indicator of the stable binding pose of the curcumin-aromatase complex. Conclusion: These in-silico findings are the basis for proposing that curcumin can be considered as a potential binding agent to inhibit the aromatase enzyme in the treatment of endometriosis. Molecular modelling and dynamics results suggest that curcumin and aromatase form a stable complex and that curcumin can be targeted as a drug in the treatment of endometriosis
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