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基于药物信息学的植物化学成分筛选,研究黄花苜蓿(Melilotus officinalis(Linn.)Pall.)的抗癌作用。

Pharmacoinformatics-based phytochemical screening for anticancer impacts of yellow sweet clover, Melilotus officinalis (Linn.) Pall.

机构信息

Research Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.

Department of Computer Science, Faculty of Mathematics, Statistics, and Computer Science, University of Tabriz, Tabriz, Iran.

出版信息

Comput Biol Med. 2021 Nov;138:104921. doi: 10.1016/j.compbiomed.2021.104921. Epub 2021 Oct 7.


DOI:10.1016/j.compbiomed.2021.104921
PMID:34656871
Abstract

To date, much attention has been paid to phytochemicals because of their diverse pharmacological effects on a variety of diseases such as cancer. In this regard, computer-aided drug design, as a cost- and time-effective approach, is primarily applied to investigate the drug candidates before their further costly in vitro and in vivo experimental evaluations. Accordingly, different signaling pathways and proteins can be targeted using such strategies. As a key protein for the initiation of eukaryotic DNA replication, mini-chromosome maintenance complex component 7 (MCM7) overexpression is related to the initiation and progression of aggressive malignancies. The current study was conducted to identify new potential natural compounds from the yellow sweet clover, Melilotus officinalis (Linn.) Pall, by examining the potential of 40 isolated phytochemicals against MCM7 protein. A structure-based pharmacophore model to the protein active site cavity was generated and followed by virtual screening and molecular docking. Overall, four compounds were selected for further evaluation based on their binding affinities. Our analyses revealed that two novel compounds, namely rosmarinic acid (PubChem CID:5281792) and melilotigenin (PubChem CID:14059499) might be druggable and offer safe usage in human. The stability of these two protein-ligand complex structures was confirmed through molecular dynamics simulation. The findings of this study reveal the potential of these two phytochemicals to serve as anticancer agents, while further pharmacological experiments are required to confirm their effectiveness against human cancers.

摘要

迄今为止,由于植物化学物质对各种疾病(如癌症)具有多种药理作用,因此人们对其给予了广泛关注。在这方面,计算机辅助药物设计作为一种具有成本效益和时间效益的方法,主要用于在进一步进行昂贵的体外和体内实验评估之前,研究候选药物。因此,可以使用这些策略针对不同的信号通路和蛋白质。作为真核生物 DNA 复制起始的关键蛋白,微小染色体维持复合物成分 7(MCM7)的过表达与侵袭性恶性肿瘤的起始和进展有关。本研究旨在通过检查 40 种分离的植物化学物质对 MCM7 蛋白的潜在作用,从黄花苜蓿(Melilotus officinalis(Linn.)Pall)中鉴定出新型潜在天然化合物。针对蛋白质活性位点腔生成了基于结构的药效团模型,随后进行了虚拟筛选和分子对接。总体而言,根据结合亲和力选择了四种化合物进行进一步评估。我们的分析表明,两种新型化合物,迷迭香酸(PubChem CID:5281792)和毛蕊异黄酮(PubChem CID:14059499)可能具有成药性,并可安全用于人类。通过分子动力学模拟证实了这两种蛋白质 - 配体复合物结构的稳定性。这项研究的结果表明,这两种植物化学物质具有作为抗癌剂的潜力,而进一步的药理学实验则需要证实它们对人类癌症的有效性。

相似文献

[1]
Pharmacoinformatics-based phytochemical screening for anticancer impacts of yellow sweet clover, Melilotus officinalis (Linn.) Pall.

Comput Biol Med. 2021-11

[2]
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[5]
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