黄酮衍生物的DFT研究和对接表明其抑制芳香化酶的能力,芳香化酶是类固醇生物合成途径的关键酶

IF 3.1 Q2 TOXICOLOGY
Anamika Singh , Nikita Tiwari , Anil Mishra , Monika Gupta
{"title":"黄酮衍生物的DFT研究和对接表明其抑制芳香化酶的能力,芳香化酶是类固醇生物合成途径的关键酶","authors":"Anamika Singh ,&nbsp;Nikita Tiwari ,&nbsp;Anil Mishra ,&nbsp;Monika Gupta","doi":"10.1016/j.comtox.2023.100289","DOIUrl":null,"url":null,"abstract":"<div><p>Aromatase is a crucial enzyme in the aromatization process, which catalyzes the conversion of androgenic steroids to estrogens. Aromatase dysregulation, as well as elevated estrogen levels, have been linked to a variety of malignancies, including breast cancer. Herein, we present the results of the optimization of Xanthones employing density functional theory (DFT) using the B3LYP/6-311G+(d, p) basis set to determine their frontier molecular orbitals, Mulliken charges, and chemical reactivity descriptors. According to the DFT results, Erythrommone has the smallest HOMO-LUMO gap (3.85 Kcal/mol), as well as the greatest electrophilicity index (5.19) and basicity (4.47). Xanthones and their derivatives were docked into the active site cavity of CYP450 to examine their structure-based inhibitory effect. The docking simulation studies predicted that Erythrommone has the lowest binding energy (-7.43 Kcal/mol), which is consistent with the DFT calculations and may function as a powerful CYP450 inhibitor equivalent to its known inhibitor, Exemestane, which has a binding affinity of −8.13 Kcal/mol. The high binding affinity of Xanthones was linked to the existence of hydrogen bonds as well as various hydrophobic interactions between the ligand and the receptor's essential amino acid residues. The findings demonstrated that Xanthones are more powerful inhibitors of the Aromatase enzyme than the recognized inhibitor Exemestane.</p></div>","PeriodicalId":37651,"journal":{"name":"Computational Toxicology","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"DFT study and docking of xanthone derivatives indicating their ability to inhibit aromatase, a crucial enzyme for the steroid biosynthesis pathway\",\"authors\":\"Anamika Singh ,&nbsp;Nikita Tiwari ,&nbsp;Anil Mishra ,&nbsp;Monika Gupta\",\"doi\":\"10.1016/j.comtox.2023.100289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Aromatase is a crucial enzyme in the aromatization process, which catalyzes the conversion of androgenic steroids to estrogens. Aromatase dysregulation, as well as elevated estrogen levels, have been linked to a variety of malignancies, including breast cancer. Herein, we present the results of the optimization of Xanthones employing density functional theory (DFT) using the B3LYP/6-311G+(d, p) basis set to determine their frontier molecular orbitals, Mulliken charges, and chemical reactivity descriptors. According to the DFT results, Erythrommone has the smallest HOMO-LUMO gap (3.85 Kcal/mol), as well as the greatest electrophilicity index (5.19) and basicity (4.47). Xanthones and their derivatives were docked into the active site cavity of CYP450 to examine their structure-based inhibitory effect. The docking simulation studies predicted that Erythrommone has the lowest binding energy (-7.43 Kcal/mol), which is consistent with the DFT calculations and may function as a powerful CYP450 inhibitor equivalent to its known inhibitor, Exemestane, which has a binding affinity of −8.13 Kcal/mol. The high binding affinity of Xanthones was linked to the existence of hydrogen bonds as well as various hydrophobic interactions between the ligand and the receptor's essential amino acid residues. The findings demonstrated that Xanthones are more powerful inhibitors of the Aromatase enzyme than the recognized inhibitor Exemestane.</p></div>\",\"PeriodicalId\":37651,\"journal\":{\"name\":\"Computational Toxicology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468111323000300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468111323000300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
引用次数: 1

摘要

芳香化酶是芳构化过程中的一种关键酶,它催化雄激素类固醇转化为雌激素。芳香化酶失调以及雌激素水平升高与多种恶性肿瘤有关,包括癌症。在此,我们提出了利用密度泛函理论(DFT)优化黄原酮的结果,该理论使用B3LYP/6-311G+(d,p)基集来确定它们的前沿分子轨道、穆利肯电荷和化学反应描述符。DFT结果表明,红氨具有最小的HOMO-LUMO间隙(3.85Kcal/mol),以及最大的亲电指数(5.19)和碱度(4.47)。对接模拟研究预测,红氨酸的结合能最低(-7.43 Kcal/mol),这与DFT计算一致,可能是一种强大的CYP450抑制剂,与已知的抑制剂依西美坦相当,依西美丁烷的结合亲和力为-8.13 Kcal/mol。Xanthones的高结合亲和力与氢键的存在以及配体和受体必需氨基酸残基之间的各种疏水相互作用有关。研究结果表明,与公认的抑制剂依西美坦相比,黄原酮是更强大的芳香化酶抑制剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DFT study and docking of xanthone derivatives indicating their ability to inhibit aromatase, a crucial enzyme for the steroid biosynthesis pathway

Aromatase is a crucial enzyme in the aromatization process, which catalyzes the conversion of androgenic steroids to estrogens. Aromatase dysregulation, as well as elevated estrogen levels, have been linked to a variety of malignancies, including breast cancer. Herein, we present the results of the optimization of Xanthones employing density functional theory (DFT) using the B3LYP/6-311G+(d, p) basis set to determine their frontier molecular orbitals, Mulliken charges, and chemical reactivity descriptors. According to the DFT results, Erythrommone has the smallest HOMO-LUMO gap (3.85 Kcal/mol), as well as the greatest electrophilicity index (5.19) and basicity (4.47). Xanthones and their derivatives were docked into the active site cavity of CYP450 to examine their structure-based inhibitory effect. The docking simulation studies predicted that Erythrommone has the lowest binding energy (-7.43 Kcal/mol), which is consistent with the DFT calculations and may function as a powerful CYP450 inhibitor equivalent to its known inhibitor, Exemestane, which has a binding affinity of −8.13 Kcal/mol. The high binding affinity of Xanthones was linked to the existence of hydrogen bonds as well as various hydrophobic interactions between the ligand and the receptor's essential amino acid residues. The findings demonstrated that Xanthones are more powerful inhibitors of the Aromatase enzyme than the recognized inhibitor Exemestane.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Computational Toxicology
Computational Toxicology Computer Science-Computer Science Applications
CiteScore
5.50
自引率
0.00%
发文量
53
审稿时长
56 days
期刊介绍: Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信