Mitragyna speciosa 叶子作为天然抗氧化剂预防疾病的潜力。

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Ihsanul Arief, Gagus Ketut Sunnardianto, Syahrul Khairi, Wahyu Dita Saputri
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引用次数: 0

摘要

Mitragyna speciosa 以其成瘾效果而闻名。另一方面,这种植物具有很好的抗氧化潜力,但到目前为止,还没有明确解释叶片中对这种活性贡献最大的化合物是什么。本研究采用了多种计算方法来确定哪些化合物与细胞色素 P450、髓过氧化物酶和 NADPH 氧化酶蛋白的相互作用最为活跃。首先,在分子对接的基础上进行了虚拟筛选,然后分析了吸附、分布、代谢、排泄和毒性(ADMET)的特性;其次是进行了 100 ns 的分子动力学(MD)模拟。虚拟筛选结果表明,(-)-表儿茶素、西妥苷和堇菜素这三种化合物对每种蛋白质都有抑制作用。这三种化合物的 ADMET 曲线显示出良好的药物能力和毒性。根据 MD 模拟的轨迹研究预测,这三种化合物与各自靶蛋白的复合物是稳定的。此外,这项计算研究中发现的这些化合物可以为今后通过体外测试评估抗氧化特性的实验提供潜在指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The potential of Mitragyna speciosa leaves as a natural source of antioxidants for disease prevention.

Mitragyna speciosa is famous for its addictive effect. On the other hand, this plant has good potential as an antioxidant agent, and so far, it was not explicitly explained what the most contributing compound in the leaves to that activity is. This study has been conducted using several computational methods to determine which compounds are the most active in interacting with cytochrome P450, myeloperoxidase, and NADPH oxidase proteins. First, virtual screening was carried out based on molecular docking, followed by profiling the properties of adsorption, distribution, metabolism, excretion, and toxicity (ADMET); the second one is the molecular dynamics (MD) simulations for 100 ns. The virtual screening results showed that three compounds acted as inhibitors for each protein: (-)-epicatechin, sitogluside, and corynoxeine. The ADMET profiles of the three compounds exhibit good drug ability and toxicity. The trajectories study from MD simulations predicts that the complexes of these three compounds with their respective target proteins are stable. Furthermore, these compounds identified in this computational study can be a potential guide for future experiments aimed at assessing the antioxidant properties through in vitro testing.

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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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