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通过应用红毛丹(植物化合物)来靶向乳腺癌生物标志物。

targeting breast cancer biomarkers by applying rambutan ( phytocompounds.

机构信息

Research Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.

Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

J Biomol Struct Dyn. 2023 Nov;41(19):10037-10050. doi: 10.1080/07391102.2022.2152868. Epub 2022 Nov 30.

Abstract

Worldwide, breast cancer is the leading type of cancer among women. Overexpression of various prognostic indicators, including nuclear receptors, is linked to breast cancer features. To date, no effective drug has been discovered to block the proliferation of breast cancer cells. This study has been designed to discover target-based small molecular-like natural drug candidates that have anti-cancer potential without causing any serious side effects. A comprehensive substrate-based drug design was carried out to discover the potential plant compounds against the target breast cancer biomarkers including phytochemicals screening, active site identification, molecular docking, pharmacokinetic (PK) properties prediction, toxicity prediction, and molecular dynamics (MD) simulation approaches. Twenty plant compounds extracted from the rambutan () were obtained from PubChem Database; and screened against the breast cancer biomarkers including estrogen receptor (ER), progesterone receptor (PR), and androgen receptor (AR). The best docking interaction was chosen based on the higher binding affinity. Analyzing the pharmacokinetic properties and toxicity prediction results indicated that the fifteen selected plant compounds have good potency without toxicity and are safe for humans. Four phytochemicals with a higher binding affinity were chosen for each breast cancer biomarker to study their stability in interaction with the target proteins using MD simulation. Among the above compounds, Ellagic acid showed the high binding affinity against all three breast cancer biomarkers.Communicated by Ramaswamy H. Sarma.

摘要

在全球范围内,乳腺癌是女性中最常见的癌症类型。各种预后指标(包括核受体)的过度表达与乳腺癌特征有关。迄今为止,尚未发现能够阻止乳腺癌细胞增殖的有效药物。本研究旨在发现具有抗癌潜力且不会引起严重副作用的基于靶点的小分子类天然药物候选物。采用基于底物的综合药物设计方法来发现针对包括植物化学筛选、活性位点鉴定、分子对接、药代动力学(PK)特性预测、毒性预测和分子动力学(MD)模拟方法在内的靶标乳腺癌生物标志物的潜在植物化合物。从 PubChem 数据库中获得了来自红毛丹()的 20 种植物化合物,并对包括雌激素受体(ER)、孕激素受体(PR)和雄激素受体(AR)在内的乳腺癌生物标志物进行了筛选。根据更高的结合亲和力选择最佳的对接相互作用。分析药代动力学特性和毒性预测结果表明,十五种选定的植物化合物具有良好的功效且无毒性,对人类安全。对于每个乳腺癌生物标志物,选择了具有更高结合亲和力的四种植物化学物质,以使用 MD 模拟研究它们与靶蛋白相互作用的稳定性。在上述化合物中,鞣花酸对所有三种乳腺癌生物标志物均表现出高结合亲和力。由 Ramaswamy H. Sarma 传达。

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