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黄酮类化合物和萜类化合物作为 BRPF1 抑制剂的计算研究:基于计算机的生物活性预测、分子对接、分子动力学模拟、MM/PBSA 计算。

Computational studies with flavonoids and terpenoids as BRPF1 inhibitors: in silico biological activity prediction, molecular docking, molecular dynamics simulations, MM/PBSA calculations.

机构信息

Max Planck Institute for Dynamics of Complex Technical Systems, Molecular Simulations and Design Group, Magdeburg, Germany.

Bioengineering Department, Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, Rize, Turkey.

出版信息

SAR QSAR Environ Res. 2022 Jul;33(7):533-550. doi: 10.1080/1062936X.2022.2096113. Epub 2022 Jul 13.

Abstract

The BRPF1 protein is encoded by the BRPF1 gene. In addition, the BRPF1 gene is known to be upregulated in leukaemia. Recent studies have shown that it is also overexpressed in hepatocellular carcinoma (HCC) as well. Therefore, BRPF1 is a significant target for anti-cancer drug development studies, especially on HCC. 40 terpenoids and flavonoids were chosen because of their anticancer properties given in the literature. In this study, the biological activity of molecules was also investigated with in silico structure-activity relationship analysis. In addition, interactions between a series of terpenoids and flavonoids and the BRPF1 protein were investigated by molecular docking and molecular dynamics simulations. The energy change caused by the interactions of BRPF1 with different compounds was also evaluated by MM/PBSA calculations. It has been revealed that compound 5 (-9.2 kcal/mol), a kind of secoclerodane type diterpenoid, has a higher affinity both compared to other flavonoids and terpenoids, and 9F9 (-7.9 kcal/mol), a selective BRPF1 inhibitor. The study presented in this article demonstrates that compound 5, as a natural product, could form a chemical scaffold for the development of selective BRPF1 bromodomain inhibitors.

摘要

BRPF1 蛋白由 BRPF1 基因编码。此外,BRPF1 基因在白血病中被证实上调。最近的研究表明,它在肝癌(HCC)中也过表达。因此,BRPF1 是抗癌药物开发研究的重要靶点,特别是在 HCC 方面。选择了 40 种萜类化合物和黄酮类化合物,是因为它们在文献中具有抗癌特性。在这项研究中,还通过计算机模拟结构-活性关系分析来研究分子的生物活性。此外,通过分子对接和分子动力学模拟研究了一系列萜类化合物和黄酮类化合物与 BRPF1 蛋白之间的相互作用。还通过 MM/PBSA 计算评估了 BRPF1 与不同化合物相互作用引起的能量变化。结果表明,化合物 5(-9.2 kcal/mol),一种 secoclerodane 型二萜,与其他黄酮类化合物和萜类化合物相比具有更高的亲和力,而 9F9(-7.9 kcal/mol)是一种选择性的 BRPF1 抑制剂。本文的研究表明,化合物 5 作为一种天然产物,可以为开发选择性 BRPF1 溴结构域抑制剂提供化学支架。

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