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基于分子对接技术的红花成分抗心肌缺血虚拟筛选

[Virtual screening of components of safflower against myocardial ischemia based on molecular docking technology].

作者信息

Li Zhi-Li, Yang Bing, Zhai Yan-Min, Feng Liang, Jia Xiao-Bin

机构信息

School of Pharmacy, Jiangsu University Zhenjiang 212013, China School of Traditional Chinese Pharmacy, China Pharmaceutical University Nanjing 211198, China.

School of Traditional Chinese Pharmacy, China Pharmaceutical University Nanjing 211198, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2020 Jun;45(12):2881-2890. doi: 10.19540/j.cnki.cjcmm.20200328.305.

Abstract

The screening of active components of traditional Chinese medicine has always been the focus and difficulty in modern research of Chinese medicine preparations. With the continuous development of life science, omics and computer technology, the virtual screening technology for active components of traditional Chinese medicine has gradually come into people's vision. Molecular docking technology is an important method for screening active components of traditional Chinese medicine. It not only has a short cycle and strong operability, but also avoids the disadvantage of poor stability in pharmacological experiments. Safflower extract can effectively alleviate the symptoms of myocardial ischemia, but its active components are not clear. In this study, with use of the molecular docking technology, the active components in safflower against myocardial ischemic were virtually screened based on the screening method of active components. Forty-six chemical components and 5 target proteins which showed high correlation with myocardial ischemia were obtained from the existing database and related literature reports. With the molecules of three commercially available drugs diltiazem, trimetazidine and verapamil as positive control molecules, the compomnents were docked with 5 target proteins. Active components were screened according to docking scores and interactions between molecules and targets, and then the active ingredients can be inferred. Fourteen chemical components were screened to have the most potential anti-myocardial ischemic activity, and all of them were flavonoids. Therefore, it can be inferred that the flavonoid components are the most potential anti-myocardial ischemic components in safflower. The screening of active anti-myocardial ischemia components in safflower was completed in this study, laying the foundation for subsequent researches.

摘要

中药活性成分的筛选一直是现代中药制剂研究的重点和难点。随着生命科学、组学以及计算机技术的不断发展,中药活性成分虚拟筛选技术逐渐进入人们的视野。分子对接技术是筛选中药活性成分的一种重要方法。它不仅周期短、操作性强,还避免了药理实验中稳定性差的缺点。红花提取物能有效缓解心肌缺血症状,但其活性成分尚不明确。本研究运用分子对接技术,基于活性成分筛选方法对红花中抗心肌缺血的活性成分进行虚拟筛选。从现有数据库及相关文献报道中获取了46种化学成分和5种与心肌缺血高度相关的靶蛋白。以三种市售药物地尔硫䓬、曲美他嗪和维拉帕米的分子作为阳性对照分子,将这些成分与5种靶蛋白进行对接。根据对接分数以及分子与靶标的相互作用筛选出活性成分,进而推断出有效成分。筛选出14种具有最具潜力抗心肌缺血活性的化学成分,且均为黄酮类化合物。因此,可以推断黄酮类成分是红花中最具潜力的抗心肌缺血成分。本研究完成了红花中抗心肌缺血活性成分的筛选,为后续研究奠定了基础。

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