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基于草药筛选发现靶向 PLK1 的共价天然产物。

Discovery of Targeted Covalent Natural Products against PLK1 by Herb-Based Screening.

机构信息

BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.

State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China.

出版信息

J Chem Inf Model. 2020 Sep 28;60(9):4350-4358. doi: 10.1021/acs.jcim.0c00074. Epub 2020 May 28.

Abstract

Natural products (NPs) are a rich source of drug discovery, and some of them act by covalently binding to the targets. Recently, targeted covalent natural product (TCNP) design has gained considerable attention since this approach offers significant benefits in improving biological efficacy and decreasing the off-target side effects. However, most of the known TCNPs were discovered by chance. Rational approaches for a systematic screen of TCNPs are much needed. Here, we developed a combined computational and experimental approach to carry out herb-based screening to identify TCNPs against proper cysteine residues in the target proteins. The herb-based TCNP screening approach (HB-TCNP) starts from a druggable pocket and cysteine residue prediction, followed by virtual screening of a covalent NP database and herb-based mapping to identify candidate herbs for experimental validation. Herbs with time-dependent activity are selected, and their NPs are experimentally tested to further screen covalent NPs. We have successfully applied HB-TCNP to screen anti-PLK1 herbs and NPs with high efficacy. Cys67 and Cys133 in the ATP binding pocket of PLK1 were used in the search. Five herbs were tested and exhibited PLK1 inhibition activity to some extent, among which showed the most potent activity with time dependency. Further experimental studies showed that the main active compounds in , baicalein and baicalin, covalently bind PLK1 through Cys133. Our study provided an efficient way to rationally design TCNPs and to make better use of herb medicines. The Cys133 residue in PLK1 serves as a novel covalent site for further drug discovery against PLK1.

摘要

天然产物(NPs)是药物发现的丰富来源,其中一些通过共价结合作用于靶点。最近,靶向共价天然产物(TCNP)设计引起了相当大的关注,因为这种方法在提高生物疗效和降低脱靶副作用方面具有显著优势。然而,大多数已知的 TCNPs 是偶然发现的。非常需要合理的方法来系统筛选 TCNPs。在这里,我们开发了一种组合计算和实验方法,对基于草药的筛选进行了研究,以鉴定针对靶蛋白中适当半胱氨酸残基的 TCNPs。基于草药的 TCNP 筛选方法(HB-TCNP)从可成药性口袋和半胱氨酸残基预测开始,然后对共价 NP 数据库进行虚拟筛选,并基于草药进行映射,以鉴定用于实验验证的候选草药。选择具有时间依赖性活性的草药,并用其 NPs 进行实验测试,以进一步筛选共价 NPs。我们已经成功地将 HB-TCNP 应用于筛选高效抗 PLK1 的草药和 NPs。在搜索中使用了 PLK1 的 ATP 结合口袋中的 Cys67 和 Cys133。测试了五种草药,它们在某种程度上表现出 PLK1 抑制活性,其中 表现出最强的时间依赖性活性。进一步的实验研究表明, 中的主要活性化合物,黄芩素和黄芩苷,通过 Cys133 共价结合 PLK1。我们的研究为合理设计 TCNPs 和更好地利用草药提供了一种有效的方法。PLK1 中的 Cys133 残基为针对 PLK1 的进一步药物发现提供了一个新的共价结合位点。

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