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基于药物信息学和分子动力学模拟的印楝植物(Azadiractha indica)对人类癌症的植物化学成分筛选,针对的是 MCM7 蛋白。

Pharmacoinformatics and molecular dynamics simulation-based phytochemical screening of neem plant (Azadiractha indica) against human cancer by targeting MCM7 protein.

机构信息

Department of Biological Science, Faculty of science, King Abdul-Aziz University, Jeddah-21589, Saudi Arabia.

Laboratory of Computational Biology, Biological Solution Centre (BioSol Centre), Jashore-7408, Bangladesh.

出版信息

Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbab098.

Abstract

Minichromosome maintenance complex component 7 (MCM7) belongs to the minichromosome maintenance family that is important for the initiation of eukaryotic DNA replication. Overexpression of the MCM7 protein is relative to cellular proliferation and responsible for aggressive malignancy in various cancers. Mechanistically, inhibition of MCM7 significantly reduces the cellular proliferation associated with cancer. To date, no effective small molecular candidate has been identified that can block the progression of cancer induced by the MCM7 protein. Therefore, the study has been designed to identify small molecular-like natural drug candidates against aggressive malignancy associated with various cancers by targeting MCM7 protein. To identify potential compounds against the targeted protein a comprehensive in silico drug design including molecular docking, ADME (Absorption, Distribution, Metabolism and Excretion), toxicity, and molecular dynamics (MD) simulation approaches has been applied. Seventy phytochemicals isolated from the neem tree (Azadiractha indica) were retrieved and screened against MCM7 protein by using the molecular docking simulation method, where the top four compounds have been chosen for further evaluation based on their binding affinities. Analysis of ADME and toxicity properties reveals the efficacy and safety of the selected four compounds. To validate the stability of the protein-ligand complex structure MD simulations approach has also been performed to the protein-ligand complex structure, which confirmed the stability of the selected three compounds including CAS ID:105377-74-0, CID:12308716 and CID:10505484 to the binding site of the protein. In the study, a comprehensive data screening process has performed based on the docking, ADMET properties, and MD simulation approaches, which found a good value of the selected four compounds against the targeted MCM7 protein and indicates as a promising and effective human anticancer agent.

摘要

微小染色体维持复合物成分 7(MCM7)属于微小染色体维持家族,对于真核生物 DNA 复制的起始至关重要。MCM7 蛋白的过表达与细胞增殖有关,是各种癌症中侵袭性恶性肿瘤的原因。从机制上讲,抑制 MCM7 会显著降低与癌症相关的细胞增殖。迄今为止,尚未发现能够阻止由 MCM7 蛋白诱导的癌症进展的有效小分子候选物。因此,本研究旨在通过针对 MCM7 蛋白来鉴定针对各种癌症侵袭性恶性肿瘤的小分子样天然药物候选物。为了鉴定针对靶向蛋白的潜在化合物,应用了包括分子对接、ADME(吸收、分布、代谢和排泄)、毒性和分子动力学(MD)模拟方法在内的综合计算药物设计。从印楝树(Azadiractha indica)中提取了 70 种植物化学物质,并通过分子对接模拟方法筛选针对 MCM7 蛋白的化合物,根据结合亲和力选择了前四种化合物进行进一步评估。ADME 和毒性特性分析揭示了所选四种化合物的功效和安全性。为了验证蛋白-配体复合物结构的稳定性,还对蛋白-配体复合物结构进行了 MD 模拟,该模拟证实了包括 CAS ID:105377-74-0、CID:12308716 和 CID:10505484 在内的三种选定化合物对蛋白结合位点的稳定性。在这项研究中,基于对接、ADMET 特性和 MD 模拟方法进行了全面的数据筛选过程,发现所选四种化合物对靶向 MCM7 蛋白具有良好的价值,并表明其作为有前途和有效的人类抗癌剂。

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