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通过计算机模拟分析确定关注化学品的分子靶点:以抗凝血农药氟鼠灵为例

In Silico Analysis to Identify Molecular Targets for Chemicals of Concern: The Case Study of Flocoumafen, an Anticoagulant Pesticide.

作者信息

Coronado-Posada Nadia, Mercado-Camargo Jairo, Olivero-Verbel Jesus

机构信息

Environmental and Computational Chemistry Group, School of Pharmaceutical Sciences, University of Cartagena, Cartagena, Colombia.

Group of Organic Medicinal Chemistry, School of Pharmaceutical Sciences, University of Cartagena, Cartagena, Colombia.

出版信息

Environ Toxicol Chem. 2021 Jul;40(7):2034-2043. doi: 10.1002/etc.5042. Epub 2021 Jun 10.

Abstract

Rodenticides are pesticides used worldwide, with little information available regarding health consequences in wildlife and humans. The aim of the present study was to use virtual screening to identify potential targets for flocoumafen, a superwarfarin rodenticide. Blind docking of more than 841 human proteins was carried out employing AutoDock Vina. The strength of the ligand interaction with the proteins was quantified based on the binding affinity score (kcal/mol). Results indicate that flocoumafen could be a promiscuous ligand for diversity of cellular protein targets. The best complexes were obtained for prostaglandin F synthase (-14.2 kcal/mol) and serum albumin (-14.0 kcal/mol) followed by glucocorticoid receptor 2, matrix metalloproteinase-9, nuclear receptor ROR-alpha, and activin receptor type-1, all with values equal or better than -13.5 kcal/mol. Docking method validation based on the root-mean-square deviation showed that flocoumafen had good capability to predict corresponding co-crystallized poses; and molecular dynamics simulations suggested the complex with greater binding affinity was thermodynamically stable. Protein-protein interaction networks built with main protein targets revealed that protein kinase B (AKT1), ribosomal protein S6 kinase B1 (RPS6KB1), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), retinoid X receptor alpha (RXRA), and protein phosphatase 2 catalytic subunit alpha (PPP2CA) were major hub proteins, whereas the gene ontology analysis reported that cellular response to endogenous stimulus, protein binding, and the TOR complex were the biological processes, molecular function, and cell component enrichments, respectively. These results should motivate more ecotoxicity testing for flocoumafen and other superwarfarins, as well as precautionary legislation to minimize exposure to these highly toxic chemicals. Environ Toxicol Chem 2021;40:2034-2043. © 2021 SETAC.

摘要

杀鼠剂是一种在全球范围内使用的杀虫剂,关于其对野生动物和人类健康影响的信息很少。本研究的目的是利用虚拟筛选来确定超级华法林杀鼠剂氟鼠酮的潜在靶点。使用AutoDock Vina对841多种人类蛋白质进行了盲对接。基于结合亲和力得分(千卡/摩尔)对配体与蛋白质的相互作用强度进行了量化。结果表明,氟鼠酮可能是多种细胞蛋白质靶点的混杂配体。与前列腺素F合酶(-14.2千卡/摩尔)和血清白蛋白(-14.0千卡/摩尔)形成的复合物最佳,其次是糖皮质激素受体2、基质金属蛋白酶-9、核受体ROR-α和激活素受体1型,所有这些复合物的值均等于或优于-13.5千卡/摩尔。基于均方根偏差的对接方法验证表明,氟鼠酮具有良好的预测相应共结晶构象的能力;分子动力学模拟表明,具有更高结合亲和力的复合物在热力学上是稳定的。用主要蛋白质靶点构建的蛋白质-蛋白质相互作用网络显示,蛋白激酶B(AKT1)、核糖体蛋白S6激酶B1(RPS6KB1)、磷脂酰肌醇-4,5-二磷酸3-激酶催化亚基α(PIK3CA)、视黄酸X受体α(RXRA)和蛋白磷酸酶2催化亚基α(PPP2CA)是主要的枢纽蛋白,而基因本体分析报告称,细胞对内源刺激的反应、蛋白质结合和TOR复合物分别是生物过程、分子功能和细胞成分的富集。这些结果应促使对氟鼠酮和其他超级华法林进行更多的生态毒性测试,以及制定预防立法,以尽量减少接触这些剧毒化学品。《环境毒理学与化学》2021年;40:2034-2043。©2021 SETAC。

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