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通过计算机模拟方法鉴定乳腺癌雌激素受体α靶点的新型抑制剂

Identification of Novel Inhibitors for ERα Target of Breast Cancer By In Silico Approach.

作者信息

Alagarsamy Veerachamy, Sulthana Mohaideen Thasthagir, Narendhar Bandi, Solomon Viswas Raja, Gobinath Manavalan, Satishchandra Aithamraju, Sangeetha Dubudam, Murugesan Sankaraanarayanan

机构信息

Medicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy, 502 294, India.

Department of Pharmaceutical Chemistry, Swathi College of Pharmacy, SPSR Nellore, 524 320, Andhra Pradesh, India.

出版信息

Curr Comput Aided Drug Des. 2024 Jun 5. doi: 10.2174/0115734099301866240527100128.

Abstract

BACKGROUND

Estrogen alpha has been recognized as a perilous factor in breast cancer cell proliferation and has been proficiently treated in breast cancer chemotherapy with the development of selective estrogen receptor modulators (SERMs).

OBJECTIVES

The major aim of this study was to identify the potential inhibitors against the most influential target ERα receptor by in silico studies of 115 phytochemicals from 17 medicinal plants using in silico molecular docking studies.

METHODS

The molecular docking investigation was carried out by a genetic algorithm using the Auto Dock Vina program, and the validation of docking was also performed using molecular dynamic (MD) simulation by the Desmond tool of Schrödinger molecular modeling. The ADME( T) studies were performed by SWISS ADME and ProTox-II.

RESULTS

The top ten highest binding energy phytochemicals identified were amyrin acetate (- 10.7 kcal/mol), uscharine (-10.5 kcal/mol), voruscharin (-10.0 kcal/mol), cyclitols (-10.0 kcal/mol), taraxeryl acetate (-9.9 kcal/mol), amyrin (-9.9 kcal/mol), barringtogenol C (-9.9 kcal/mol), calactin (-9.9 kcal/mol), 3-beta taraxerol (-9.8 kcal/mol), and calotoxin (-9.8 kcal/mol). A molecular docking study revealed that these phytochemical constituents showed higher binding affinity compared to the reference standard tamoxifen (-6.6 kcal/mol) towards the target protein ERα. The results of MD studies showed that all four tested compounds possess comparatively stable ligand-protein complexes with ERα target as compared to the tamoxifen- ERα complex.

CONCLUSION

Among the ten compounds, phytochemical amyrin acetate (triterpenoids) formed a more stable complex as well as exhibited greater binding affinity than standard tamoxifen. ADMET studies for the top ten phytochemicals showed a good safety profile. Additionally, these compounds are being reported for the first time in this study as possible inhibitors of ERα for the treatment of breast cancer by adopting the concept of drug repurposing. Hence, these phytochemicals can be further studied and can be used as a parent core molecule to develop novel lead molecules for breast cancer therapy.

摘要

背景

雌激素α已被确认为乳腺癌细胞增殖的危险因素,随着选择性雌激素受体调节剂(SERM)的发展,其在乳腺癌化疗中得到了有效治疗。

目的

本研究的主要目的是通过对17种药用植物中的115种植物化学物质进行计算机分子对接研究,确定针对最具影响力的靶标ERα受体的潜在抑制剂。

方法

使用遗传算法通过Auto Dock Vina程序进行分子对接研究,并使用Schrödinger分子建模的Desmond工具通过分子动力学(MD)模拟进行对接验证。通过SWISS ADME和ProTox-II进行ADME(T)研究。

结果

确定的结合能最高的十种植物化学物质为醋酸羽扇豆醇酯(-10.7千卡/摩尔)、乌斯卡灵(-10.5千卡/摩尔)、沃鲁斯卡灵(-10.0千卡/摩尔)、环醇(-10.0千卡/摩尔)、醋酸蒲公英萜醇酯(-9.9千卡/摩尔)、羽扇豆醇(-9.9千卡/摩尔)、巴灵托吉诺醇C(-9.9千卡/摩尔)、卡拉亭(-9.9千卡/摩尔)、3-β-蒲公英萜醇(-9.8千卡/摩尔)和卡拉毒素(-9.8千卡/摩尔)。分子对接研究表明,与参考标准他莫昔芬(-6.6千卡/摩尔)相比,这些植物化学成分对靶蛋白ERα表现出更高的结合亲和力。MD研究结果表明,与他莫昔芬-ERα复合物相比,所有四种测试化合物与ERα靶标形成的配体-蛋白质复合物相对稳定。

结论

在这十种化合物中,植物化学物质醋酸羽扇豆醇酯(三萜类)形成了更稳定的复合物,并且比标准他莫昔芬表现出更高的结合亲和力。对十种植物化学物质的ADMET研究显示出良好的安全性。此外,在本研究中首次报道这些化合物作为ERα的可能抑制剂,通过采用药物重新利用的概念来治疗乳腺癌。因此,这些植物化学物质可以进一步研究,并可作为母体核心分子来开发用于乳腺癌治疗的新型先导分子。

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