Montes-Grajales Diana, Martínez-Romero Esperanza, Olivero-Verbel Jesus
Environmental and Computational Chemistry Group, School of Pharmaceutical Sciences, Zaragocilla Campus, University of Cartagena, Cartagena 130015, Colombia; Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México UNAM, Cuernavaca-Morelos 62210, Mexico.
Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México UNAM, Cuernavaca-Morelos 62210, Mexico.
Steroids. 2018 Jun;134:9-15. doi: 10.1016/j.steroids.2018.03.010. Epub 2018 Mar 31.
Breast cancer is a highly heterogeneous disease influenced by the hormonal microenvironment and the most common malignancy in women worldwide. Some phytoestrogens and mycoestrogens have been epidemiologically linked as risk factors or protectors, however their mechanisms of action are complex and not fully understood. The aim of this study was to predict the potential of 36 natural xenoestrogens to interact with 189 breast cancer proteins using AutoDock Vina. In order to validate our protocol, an in silico docking pose and binding site determination was compared with the crystallographic structure and the power of prediction to distinguish between ligand and decoys was evaluated through a receiver operating characteristic curve (ROC) of the resultant docking affinities and in vitro data. The best affinity score was obtained for glyceollin III interacting with the sex hormone binding globulin (-11.9 Kcal/mol), a plasma steroid transport protein that regulates sex steroids bioavailability. Other natural xenoestrogens such as beta-carotene, chrysophanol 8-O-beta-d-glucopyranoside and glyceollin I, also presented good affinity for proteins related to this disease and the validation was successful. This study may help to prioritize compounds for toxicity tests or drug development from natural scaffolds, and to elucidate their mechanisms of action.
乳腺癌是一种高度异质性疾病,受激素微环境影响,是全球女性中最常见的恶性肿瘤。一些植物雌激素和霉菌雌激素在流行病学上被认为是风险因素或保护因素,然而它们的作用机制复杂且尚未完全了解。本研究的目的是使用AutoDock Vina预测36种天然异雌激素与189种乳腺癌蛋白相互作用的潜力。为了验证我们的方案,将计算机对接构象和结合位点测定结果与晶体结构进行比较,并通过所得对接亲和力的受试者工作特征曲线(ROC)和体外数据评估区分配体和诱饵的预测能力。与性激素结合球蛋白相互作用的大豆抗毒素III获得了最佳亲和力评分(-11.9千卡/摩尔),性激素结合球蛋白是一种调节性类固醇生物利用度的血浆类固醇转运蛋白。其他天然异雌激素,如β-胡萝卜素、大黄酚8-O-β-D-吡喃葡萄糖苷和大豆抗毒素I,也对与该疾病相关的蛋白表现出良好的亲和力,验证成功。本研究可能有助于从天然支架中确定毒性测试或药物开发的优先化合物,并阐明其作用机制。