Computational studies and structural insights for discovery of potential natural aromatase modulators for hormone-dependent breast cancer

IF 2.2 4区 工程技术 Q3 PHARMACOLOGY & PHARMACY Bioimpacts Pub Date : 2024-01-20 DOI:10.34172/bi.2024.27783
S. Arvindekar, Sanket Rathod, Prafulla Choudhari, P. Mane, A. Arvindekar, Suraj N. Mali, B. Thorat
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Abstract

Introduction: The aromatase enzyme plays an important role in the progress of hormone-dependent breast cancer, especially in estrogen receptor-positive (ER+) breast cancers. In case of postmenopausal women, the aromatization of androstenedione to estrone in adipose tissue is the most important source of estrogen. Generally 60%-75% of pre- and post-menopausal women suffer from estrogen-dependent breast cancer, and thus suppressing estrogen has been recognized to be a successful therapy. Hence, to limit the stimulation of estrogen, aromatase inhibitors (AIs) are used in the second-line treatment of breast cancer. Methods: The present computational study employed an in silico approach in the identification of natural actives targeting the aromatase enzyme from a structurally diverse set of natural products. Molecular docking, QSAR studies and pharmacophore modeling were carried out using the VLife Molecular Design Suite (version 4.6). The stability of the compounds was confirmed by molecular dynamics. Results: From molecular docking and analysis of interactions with the amino acid residues of the binding cavity, it was found that the amino acid residues interacting with the non-steroidal inhibitors exhibited π-stacking interactions with PHE134, PHE 221, and TRP 224, while the steroidal drug exemestane lacked π-stacking interactions. QSAR studies were performed using the flavonoid compounds, in order to identify the structural functionalities needed to improve the anti-breast cancer activity. Molecular dynamics of the screened hits confirmed the stability of compounds with the target in the binding cavity. Moreover, pharmacophore modelling presented the pharmacophoric features of the selected scaffolds for aromatase inhibitory activity. Conclusion: The results presented 23 hit compounds that can be developed as anti-breast cancer modulating agents in the near future. Additionally, anthraquinone compounds with minor structural modification can also serve to be potential aromatase inhibitors. The in silico protocol utilised can be useful in the drug discovery process for development of new leads from structurally diverse set of natural products that are comparable to the drugs used clinically in breast cancer therapy.
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通过计算研究和结构洞察发现治疗激素依赖性乳腺癌的潜在天然芳香化酶调节剂
导言芳香化酶在激素依赖性乳腺癌的发展过程中起着重要作用,尤其是在雌激素受体阳性(ER+)乳腺癌中。对于绝经后妇女,脂肪组织中的雄烯二酮芳香化为雌酮是雌激素最重要的来源。一般来说,60%-75%的绝经前和绝经后妇女患有雌激素依赖型乳腺癌,因此抑制雌激素被认为是一种成功的疗法。因此,为了限制雌激素的刺激,芳香化酶抑制剂(AIs)被用于乳腺癌的二线治疗。方法:本计算研究采用了硅学方法,从结构多样的天然产品中鉴定出针对芳香化酶的天然活性物质。使用 VLife 分子设计套件(4.6 版)进行了分子对接、QSAR 研究和药效学建模。分子动力学证实了化合物的稳定性。结果:通过分子对接和分析与结合腔氨基酸残基的相互作用发现,与非类固醇抑制剂相互作用的氨基酸残基与 PHE134、PHE 221 和 TRP 224 存在π-堆积相互作用,而类固醇药物依西美坦缺乏π-堆积相互作用。我们利用黄酮类化合物进行了 QSAR 研究,以确定提高抗乳腺癌活性所需的结构功能。通过对筛选出的化合物进行分子动力学研究,证实了这些化合物与结合腔中的靶点之间的稳定性。此外,药效学建模显示了所选支架在抑制芳香化酶活性方面的药效学特征。结论研究结果表明,23 个命中化合物可在不久的将来开发成抗乳腺癌调节剂。此外,蒽醌类化合物在结构上稍加修饰也可成为潜在的芳香化酶抑制剂。在药物发现过程中,所使用的硅学方案可以从结构多样的天然产物中开发出与临床上用于乳腺癌治疗的药物相当的新线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bioimpacts
Bioimpacts Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
4.80
自引率
7.70%
发文量
36
审稿时长
5 weeks
期刊介绍: BioImpacts (BI) is a peer-reviewed multidisciplinary international journal, covering original research articles, reviews, commentaries, hypotheses, methodologies, and visions/reflections dealing with all aspects of biological and biomedical researches at molecular, cellular, functional and translational dimensions.
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