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RTA 蓖麻毒素亚基抑制剂的发现:使用 PM7 量子化学方法和导向分子动力学的计算研究。

Discovery of RTA ricin subunit inhibitors: a computational study using PM7 quantum chemical method and steered molecular dynamics.

机构信息

Department of Biotechnology, Federal University of Paraíba, João Pessoa, PB, Brazil.

Department of Chemistry, Federal University of Paraíba, João Pessoa, PB, Brazil.

出版信息

J Biomol Struct Dyn. 2022 Aug;40(12):5427-5445. doi: 10.1080/07391102.2021.1878058. Epub 2021 Feb 2.

DOI:10.1080/07391102.2021.1878058
PMID:33526002
Abstract

Ricin is a potent toxin derived from the castor bean plant and comprises two subunits, RTA and RTB. Because of its cytotoxicity, ricin has alarmed world authorities for its potential use as a chemical weapon. Ricin also affects castor bean agribusiness, given the risk of animal and human poisoning. Over the years, many groups attempted to propose small-molecules that bind to the RTA active site, the catalytic chain. Despite such efforts, there is still no effective countermeasure against ricin poisoning. The computational study carried out in the present work renews the discussion about small-molecules that may inhibit this toxin. Here, a structure-based virtual screening protocol capable of discerning active RTA inhibitors from inactive ones was performed to screen over 2 million compounds from the ZINC database to find novel scaffolds that strongly bind into the active site of the RTA. Besides, a novel score method based on ligand undocking force profiles and semi-empirical quantum chemical calculations provided insights into the rescore of docking poses. Summing up, the filtering steps pointed out seven main compounds, with the SCF00-451 as a promising candidate to inhibit the killing activity of such potent phytotoxin.

摘要

蓖麻毒素是一种源自蓖麻植物的强效毒素,由两个亚基 RTA 和 RTB 组成。由于其细胞毒性,蓖麻毒素因其可能被用作化学武器而引起了世界各国当局的警惕。蓖麻毒素还会影响到蓖麻农业综合企业,因为存在动物和人类中毒的风险。多年来,许多团体试图提出与 RTA 活性位点(催化链)结合的小分子。尽管做出了这些努力,但针对蓖麻毒素中毒仍没有有效的对策。本工作中的计算研究重新讨论了可能抑制这种毒素的小分子。在这里,进行了基于结构的虚拟筛选方案,以从 ZINC 数据库中筛选超过 200 万个化合物,寻找能够强烈结合到 RTA 活性位点的新型支架,从而区分活性和非活性的 RTA 抑制剂。此外,一种基于配体卸栽力曲线和半经验量子化学计算的新型评分方法为对接构象的重新评分提供了深入了解。总之,筛选步骤指出了七种主要化合物,其中 SCF00-451 是抑制这种强效植物毒素杀伤活性的有前途的候选物。

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