基于药物团的印尼草药数据库虚拟筛选寻找假定的选择性雌激素受体降解物

Aisyah F. Prawiningrum, Rafika I. Paramita, L. Erlina
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摘要

大多数乳腺癌病例是雌激素受体敏感型或黄体酮受体敏感型的腔内亚型。常见的治疗方法包括手术和通过处方选择性雌激素受体降解剂(SERD)进行辅助内分泌治疗。SERD是一种通过降低雌激素受体(ER)活性来抑制雌激素受体(ER)活性的药物,从而下调雌激素受体的活性。目前fda批准的SERD只能通过肌肉注射给药。本研究的目的是通过LigandScout进行虚拟筛选,在印尼草药数据库中寻找口服无毒且生物利用度高的serd替代品。使用分子对接工具AutoDock进一步分析命中的化合物。从毒性和药物相似性方面分析了三种分子对接效果最好的化合物,即黄酮T、桑叶素和姜黄素。基于毒性和药物相似性研究,姜黄素被认为是SERD的最佳替代品。这一结果进一步得到分子动力学模拟结果的支持,姜黄素与雌激素受体结合时最稳定。
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Pharmacophore-Based Virtual Screening from Indonesian Herbal Database to Find Putative Selective Estrogen Receptor Degraders
Most breast cancer cases are luminal subtypes which are estrogen receptor-sensitive or progesterone receptor-sensitive. Common treatments include surgery and adjuvant endocrine therapy by prescribing selective estrogen receptor degraders (SERD). SERD is a type of medication that inhibits estrogen receptor (ER) activity by degrading it, and as a result, downregulating it. The current FDA-approved SERD can only be administered through intramuscular injection. The aim of this study is to find orally non-toxic and bioavailable herbal alternatives of SERDs in Indonesian Herbal Database by doing virtual screening using LigandScout. The hit compounds were further analyzed using a molecular docking tool, AutoDock. Three compounds that gave the best results in molecular docking, namely kuwanon T, mulberrin, and curcumin, were analyzed in terms of their toxicity and drug-likeness. Based on toxicity and drug-likeness study, curcumin is considered to be the best candidates for SERD alternatives. This result is further supported by molecular dynamic simulation outcome in which curcumin is the most stable while binding with estrogen receptors.
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