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用于发现激素依赖性乳腺癌潜在天然芳香化酶调节剂的计算研究和结构见解

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

作者信息

Arvindekar Snehal Aditya, Rathod Sanket, Choudhari Prafulla Balkrishna, Mane Pradnya Kiran, Arvindekar Aditya Umesh, Mali Suraj Narayan, Thorat Bapu

机构信息

Department of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, ‎‎(M.S.), India‎.

Y. D. Mane Institute of Pharmacy, Kagal, (M.S.), India ‎.

出版信息

Bioimpacts. 2024;14(5):27783. doi: 10.34172/bi.2024.27783. Epub 2024 Jan 20.

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 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 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.

摘要

引言

芳香化酶在激素依赖性乳腺癌的进展中起着重要作用,尤其是在雌激素受体阳性(ER+)乳腺癌中。对于绝经后女性,脂肪组织中雄烯二酮向雌酮的芳香化是雌激素的最重要来源。一般来说,60%-75%的绝经前和绝经后女性患有雌激素依赖性乳腺癌,因此抑制雌激素已被认为是一种成功的治疗方法。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

本计算研究采用一种方法,从结构多样的天然产物中鉴定靶向芳香化酶的天然活性物质。使用VLife分子设计套件(版本4.6)进行分子对接、定量构效关系(QSAR)研究和药效团建模。通过分子动力学确认化合物的稳定性。

结果

通过分子对接以及与结合腔氨基酸残基相互作用的分析发现,与非甾体抑制剂相互作用的氨基酸残基与苯丙氨酸134、苯丙氨酸221和色氨酸224表现出π-堆积相互作用,而甾体药物依西美坦缺乏π-堆积相互作用。使用黄酮类化合物进行QSAR研究,以确定提高抗乳腺癌活性所需的结构功能。筛选出的命中化合物的分子动力学证实了化合物与结合腔中靶点的稳定性。此外,药效团建模展示了所选支架对于芳香化酶抑制活性的药效团特征。

结论

结果显示有23种命中化合物可在不久的将来开发为抗乳腺癌调节剂。此外,结构修饰较小的蒽醌化合物也可能成为潜在的芳香化酶抑制剂。所采用的方案可用于药物发现过程,从结构多样的天然产物中开发新的先导化合物,这些先导化合物可与乳腺癌治疗中临床使用的药物相媲美。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64fa/11406427/c2804bdba694/bi-14-27783-g001.jpg

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