Integration of in silico methods to determine endocrine-disrupting tobacco pollutants binding potency with steroidogenic genes: comprehensive QSAR modeling and ensemble docking strategies.

IF 2.1 4区 管理学 Q3 BUSINESS Journal of Advertising Research Pub Date : 2022-09-01 Epub Date: 2022-04-30 DOI:10.1007/s11356-022-20443-3
Kranthi Kumar Konidala, Umadevi Bommu, Neeraja Pabbaraju
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引用次数: 3

Abstract

A myriad of tobacco-associated chemicals may have possibilities to developmental/reproductive axis and endocrine-disruption impacts. Mostly they breach the biotransformation of cholesterol in mitochondria by interfering with steroidogenic pathway genes, prompting to adverse effects in steroid biosynthesis; however, studies are scanty. The quantitative structure-activity relationship (QSAR) modeling and comparative docking strategies were used to understand structural features of dataset compounds that influence developmental/reproductive toxicity and estrogen and androgen receptor-binding abilities, and to predict binding levels of toxicants with steroidogenic acute regulatory protein (StAR) and cholesterol side-chain cleavage enzyme (CYP11A1) active sites. Developed QSAR models presented good robustness and predictive ability that were determined from the applicability domain and, clustering and classification of chemicals by performing self-organizing maps. Accordingly, the exorbitant amount of polycyclic aromatic hydrocarbons (PAHs) and a limited number of other chemicals including N-nitrosamines and nicotine was represented as potential developmental/reproductive toxicants as well as estrogen and androgen receptor binders. From the docking analysis, hydrogen bonding, nonpolar, atomic π-stacking, and π-cation interactions were found between PAHs (bay and fjord structural pockets) and functional hotspot residues of StAR and CYP11A1, which strengthened the subtle structural changes at domains. These govern barrier effects to cholesterol binding and/or locking cholesterol to complicate its ejection from the Ω1 loop of StAR, and further mitigates steroid biosynthesis through cholesterol by CYP11A1; therefore, they are presumably considered as block-cluster mechanisms. These outcomes are significant to be hopeful to estimate developmental/reproductive toxicity and endocrine-disruption activities of other environmental pollutants, and could be useful for further assessment to discover binding mechanisms of PAHs with other steroidogenesis pathway genes.

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综合采用硅学方法确定干扰内分泌的烟草污染物与类固醇生成基因的结合效力:综合 QSAR 建模和集合对接策略。
大量与烟草有关的化学物质可能会对发育/生殖轴和内分泌产生影响。它们大多通过干扰类固醇生成途径基因,破坏线粒体中胆固醇的生物转化,从而对类固醇的生物合成产生不利影响;然而,这方面的研究还很少。本研究采用定量结构-活性关系(QSAR)建模和比较对接策略来了解影响发育/生殖毒性以及雌激素和雄激素受体结合能力的数据集化合物的结构特征,并预测毒物与类固醇生成急性调节蛋白(StAR)和胆固醇侧链裂解酶(CYP11A1)活性位点的结合水平。所开发的 QSAR 模型具有良好的稳健性和预测能力,这是由适用领域以及通过执行自组织图对化学品进行聚类和分类确定的。因此,大量的多环芳烃(PAHs)以及包括 N-亚硝胺和尼古丁在内的少量其他化学物质被认为是潜在的发育/生殖毒性物质以及雌激素和雄激素受体结合剂。通过对接分析,发现多环芳烃(海湾和峡湾结构袋)与 StAR 和 CYP11A1 的功能热点残基之间存在氢键、非极性、原子 π 堆积和 π 阳离子相互作用,这加强了结构域的微妙结构变化。这些变化对胆固醇的结合和/或锁定胆固醇产生了障碍效应,使胆固醇从 StAR 的 Ω1 环中排出变得更加复杂,并进一步减轻了 CYP11A1 通过胆固醇合成类固醇的过程;因此,这些变化被认为是阻滞-集群机制。这些结果对估计其他环境污染物的发育/生殖毒性和内分泌干扰活性具有重要意义,并有助于进一步评估发现多环芳烃与其他类固醇生成途径基因的结合机制。
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来源期刊
CiteScore
4.20
自引率
12.00%
发文量
25
期刊介绍: The ARF is the preeminent professional organization in the field of advertising, market and media research. Its combined membership represents more than 325 advertisers, advertising agencies, research firms, media companies, educational institutions and international organizations. Founded in 1936 by the Association of National Advertisers and the American Association of Advertising Agencies, the ARF leads key industry learning initiatives that increase the contribution of research to better marketing, more effective advertising and profitable organic growth. The principal mission of The ARF is to improve the practice of advertising, marketing and media research in pursuit of more effective marketing and advertising communications.
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