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基于结构的对接研究探索选定植物化学物质对前列腺癌的潜在抗雄激素活性。

Structure Based docking studies towards exploring potential anti-androgen activity of selected phytochemicals against Prostate Cancer.

机构信息

Symbiosis School of Biological Sciences, Symbiosis International University, Gram- Lavale; Taluka - Mulshi, Pune, India.

出版信息

Sci Rep. 2017 May 16;7(1):1955. doi: 10.1038/s41598-017-02023-5.

Abstract

Prostate cancer (PCa) is the second most common malignancy amongst men worldwide. Under PCa maintenance therapy drugs acting as antagonists/partial agonists of hormone receptors against the prostate tissue are used in clinical practices. Prominent drugs being Cyproterone acetate, Flutamide, Bicalutamide, they not only cause acute and long-term toxicity, but also develops drug resistance among patients. Our focus has been on phytochemicals which do not exhibit any cytotoxicity and have significant androgen receptor (AR) inhibition activity. As Protein- Ligand interactions play a key role in structure based drug design, so by using molecular docking, we screened 803 phytochemicals and investigated their binding affinity against AR. The three dimensional (3D) structure of AR was retrieved from Protein Data Bank, and docked with 3D Pubchem structures of 803 phytochemicals using Argus Lab. Molecular docking and drug likeness studies were made using ADMET properties while Lipinski's rule of five was performed for the phytochemicals to evaluate their anti-prostate cancer activity. The results showed that Isobavachin exhibited best binding affinity of -13.73 kcal/mol with AR followed by Glabranin, Anthocyanin and Eriosemation. Our studies therefore reveal that these four phytochemicals could be promising candidates for further evaluation for PCa prevention or management.

摘要

前列腺癌(PCa)是全球男性中第二常见的恶性肿瘤。在 PCa 维持治疗中,针对前列腺组织的激素受体拮抗剂/部分激动剂类药物在临床实践中被使用。常用的药物有醋酸环丙孕酮、氟他胺、比卡鲁胺,它们不仅会导致急性和长期毒性,还会使患者产生耐药性。我们关注的是那些没有细胞毒性且具有显著雄激素受体(AR)抑制活性的植物化学物质。由于蛋白质-配体相互作用在基于结构的药物设计中起着关键作用,因此我们通过分子对接,筛选了 803 种植物化学物质,并研究了它们对 AR 的结合亲和力。AR 的三维(3D)结构从蛋白质数据库中检索到,并用 Argus Lab 与 803 种植物化学物质的 3D Pubchem 结构对接。使用 ADMET 特性进行分子对接和药物相似性研究,同时对植物化学物质进行了 Lipinski 的五规则分析,以评估它们的抗前列腺癌活性。结果表明,异甘草素与 AR 具有最佳的结合亲和力(-13.73kcal/mol),其次是甘草素、花青素和山奈酚。因此,我们的研究表明,这四种植物化学物质可能是进一步评估用于预防或管理 PCa 的有前途的候选药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8049/5434041/0d681c945628/41598_2017_2023_Fig1_HTML.jpg

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