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针对芳香化酶受体治疗乳腺癌的植物化学成分研究。

studies on the phytochemical components of targeting aromatase receptors against breast cancer.

作者信息

Samajdar Saptarshi, Mondal Prasenjit

机构信息

Department of Pharmaceutical Technology, Brainware University, 328, Ramkrishnapur Road, Kolkata, India.

出版信息

In Silico Pharmacol. 2023 Jul 29;11(1):19. doi: 10.1007/s40203-023-00155-3. eCollection 2023.

DOI:10.1007/s40203-023-00155-3
PMID:37525849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10387019/
Abstract

In India, breast cancer is the most common cause of mortality for women and has the potential to spread to other body organs. As a transcription factor, interactions with the estrogen receptor (ER) alpha are primarily responsible for the development of malignant tumors. Aromatase inhibitors are the most often used treatment for ER(+) breast cancer. Various synthetic compounds have been developed over the years to block the aromatase receptor, however, the majority of them are hazardous and cause multidrug resistance. So, combating these natural drugs can be prioritized. The current study was conducted to investigate the anticancer potential of phytoconstituents against breast cancer target protein (PDB ID: 3EQM) based on a literature review. In this study, 34 ligands were chosen, and the structure of the human aromatase receptor was acquired from the protein data bank. For those natural chemicals, molecular docking, drug-likeness, toxicity, and molecular dynamics were used to evaluate and analyse their anti-breast cancer activity. Five substances, 2,3-Diphenyl quinoxaline, 17-Acetoxy pregnolone, Benzyl-d-glucoside, Ergostenol acetate, and Stigmast-7-en-3-ol, shown higher binding affinity than Tamoxifen, signaling their potential use in breast cancer treatment.

摘要

在印度,乳腺癌是女性最常见的死亡原因,并且有可能扩散到身体的其他器官。作为一种转录因子,与雌激素受体(ER)α的相互作用是恶性肿瘤发展的主要原因。芳香酶抑制剂是最常用于治疗ER(+)乳腺癌的药物。多年来已开发出各种合成化合物来阻断芳香酶受体,然而,其中大多数具有危险性并会导致多药耐药性。因此,可以优先考虑对抗这些天然药物。基于文献综述,本研究旨在调查植物成分对乳腺癌靶蛋白(PDB ID:3EQM)的抗癌潜力。在本研究中,选择了34种配体,并从蛋白质数据库中获取了人类芳香酶受体的结构。对于这些天然化学物质,使用分子对接、类药性、毒性和分子动力学来评估和分析它们的抗乳腺癌活性。五种物质,2,3-二苯基喹喔啉、17-乙酰氧基孕烯醇酮、苄基-D-葡萄糖苷、醋酸麦角甾烯醇和豆甾-7-烯-3-醇,显示出比他莫昔芬更高的结合亲和力,表明它们在乳腺癌治疗中的潜在用途。

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本文引用的文献

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In Silico Pharmacol. 2023 Apr 28;11(1):12. doi: 10.1007/s40203-023-00143-7. eCollection 2023.
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Evaluation of wound healing effect of (Lam.) Mull. Arg. by in silico multitargets directed for multiligand approach.通过针对多配体方法的计算机多靶点评估(Lam.)Mull. Arg. 的伤口愈合效果。
In Silico Pharmacol. 2022 Oct 2;10(1):19. doi: 10.1007/s40203-022-00134-0. eCollection 2022.
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Quercetin attenuates viral infections by interacting with target proteins and linked genes in chemicobiological models.槲皮素通过在化学生物学模型中与靶蛋白及相关基因相互作用来减轻病毒感染。
In Silico Pharmacol. 2022 Sep 16;10(1):17. doi: 10.1007/s40203-022-00132-2. eCollection 2022.
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Formulation and in-silico study of meclizine ointment as anti-eczema.作为抗湿疹药物的美克洛嗪软膏的配方及计算机模拟研究
In Silico Pharmacol. 2022 Aug 30;10(1):15. doi: 10.1007/s40203-022-00129-x. eCollection 2022.
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In Silico Pharmacol. 2022 Jul 2;10(1):10. doi: 10.1007/s40203-022-00125-1. eCollection 2022.
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Molecular dynamics simulation and in vitro evaluation of herb-drug interactions involving dietary polyphenols and CDK inhibitors in breast cancer chemotherapy.基于分子动力学模拟和体外评估的膳食多酚与 CDK 抑制剂在乳腺癌化疗中与药物相互作用的研究
Phytother Res. 2022 Oct;36(10):3988-4001. doi: 10.1002/ptr.7547. Epub 2022 Jul 2.
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