合成吲哚基磺酰胺衍生物,作为α-葡萄糖苷酶和α-淀粉酶的强效抑制剂用于治疗 II 型糖尿病

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-02-02 DOI:10.1016/j.cdc.2024.101122
Wasi Ullah , Fazal Rahim , Shawkat Hayat , Hayat Ullah , Muhammad Taha , Shoaib Khan , Amena Khaliq , Saba Bibi , Osama Gohar , Naveed Iqbal , Syed Adnan Ali Shah , Khalid Mohammed Khan
{"title":"合成吲哚基磺酰胺衍生物,作为α-葡萄糖苷酶和α-淀粉酶的强效抑制剂用于治疗 II 型糖尿病","authors":"Wasi Ullah ,&nbsp;Fazal Rahim ,&nbsp;Shawkat Hayat ,&nbsp;Hayat Ullah ,&nbsp;Muhammad Taha ,&nbsp;Shoaib Khan ,&nbsp;Amena Khaliq ,&nbsp;Saba Bibi ,&nbsp;Osama Gohar ,&nbsp;Naveed Iqbal ,&nbsp;Syed Adnan Ali Shah ,&nbsp;Khalid Mohammed Khan","doi":"10.1016/j.cdc.2024.101122","DOIUrl":null,"url":null,"abstract":"<div><p>We have synthesized indole-based sulfonamides derivatives (1–10), characterized through NMR and HR-EIMS, and screened against α-glucosidase and α-amylase enzymes. All the synthesized analogues showed various degrees of inhibitory potential ranging between 1.10 ± 0.10 to 10.90 ± 0.20 <em>µ</em>M (against α-glucosidase) and 0.70 ± 0.10 to 11.30 ± 0.20 <em>µ</em>M (against α-amylase) as compared to standard acarbose (IC<sub>50</sub> = 38.45 ± 0.10 <em>µ</em>M and 1.70 ± 0.10 <em>μ</em>M, respectively). In both cases, analogues 5 (IC<sub>50</sub> = 1.10 ± 0.10 and 0.40 ± 0.10 μM) and 8 (IC<sub>50</sub> = 1.20 ± 0.10 and 0.70 ± 0.10 <em>μ</em>M) were identified as the most potent among the series. A structure-activity relationship has been established, which mainly depends upon the substitution pattern around the phenyl ring. The interaction of the most potent analogs with the active site of enzymes was determined through a molecular docking study.</p></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"50 ","pages":"Article 101122"},"PeriodicalIF":2.2180,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synthesis of Indole Based Sulfonamide Derivatives as potent inhibitors of α-glucosidase and α-amylase in management of type-II diabetes\",\"authors\":\"Wasi Ullah ,&nbsp;Fazal Rahim ,&nbsp;Shawkat Hayat ,&nbsp;Hayat Ullah ,&nbsp;Muhammad Taha ,&nbsp;Shoaib Khan ,&nbsp;Amena Khaliq ,&nbsp;Saba Bibi ,&nbsp;Osama Gohar ,&nbsp;Naveed Iqbal ,&nbsp;Syed Adnan Ali Shah ,&nbsp;Khalid Mohammed Khan\",\"doi\":\"10.1016/j.cdc.2024.101122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We have synthesized indole-based sulfonamides derivatives (1–10), characterized through NMR and HR-EIMS, and screened against α-glucosidase and α-amylase enzymes. All the synthesized analogues showed various degrees of inhibitory potential ranging between 1.10 ± 0.10 to 10.90 ± 0.20 <em>µ</em>M (against α-glucosidase) and 0.70 ± 0.10 to 11.30 ± 0.20 <em>µ</em>M (against α-amylase) as compared to standard acarbose (IC<sub>50</sub> = 38.45 ± 0.10 <em>µ</em>M and 1.70 ± 0.10 <em>μ</em>M, respectively). In both cases, analogues 5 (IC<sub>50</sub> = 1.10 ± 0.10 and 0.40 ± 0.10 μM) and 8 (IC<sub>50</sub> = 1.20 ± 0.10 and 0.70 ± 0.10 <em>μ</em>M) were identified as the most potent among the series. A structure-activity relationship has been established, which mainly depends upon the substitution pattern around the phenyl ring. The interaction of the most potent analogs with the active site of enzymes was determined through a molecular docking study.</p></div>\",\"PeriodicalId\":269,\"journal\":{\"name\":\"Chemical Data Collections\",\"volume\":\"50 \",\"pages\":\"Article 101122\"},\"PeriodicalIF\":2.2180,\"publicationDate\":\"2024-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Data Collections\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405830024000107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Chemistry\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Data Collections","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405830024000107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 0

摘要

我们合成了吲哚基磺酰胺类衍生物(1-10),通过核磁共振和 HR-EIMS 对其进行了表征,并针对α-葡萄糖苷酶和α-淀粉酶进行了筛选。与标准阿卡波糖(IC50 = 38.45 ± 0.10 µM 和 1.70 ± 0.10 µM)相比,所有合成的类似物都显示出不同程度的抑制潜力,对α-葡萄糖苷酶的抑制潜力在 1.10 ± 0.10 至 10.90 ± 0.20 µM之间,对α-淀粉酶的抑制潜力在 0.70 ± 0.10 至 11.30 ± 0.20 µM之间。在这两种情况下,类似物 5(IC50 = 1.10 ± 0.10 和 0.40 ± 0.10 μM)和 8(IC50 = 1.20 ± 0.10 和 0.70 ± 0.10 μM)被认为是这一系列中最有效的。已建立的结构-活性关系主要取决于苯环周围的取代模式。通过分子对接研究确定了最有效的类似物与酶活性位点的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Synthesis of Indole Based Sulfonamide Derivatives as potent inhibitors of α-glucosidase and α-amylase in management of type-II diabetes

We have synthesized indole-based sulfonamides derivatives (1–10), characterized through NMR and HR-EIMS, and screened against α-glucosidase and α-amylase enzymes. All the synthesized analogues showed various degrees of inhibitory potential ranging between 1.10 ± 0.10 to 10.90 ± 0.20 µM (against α-glucosidase) and 0.70 ± 0.10 to 11.30 ± 0.20 µM (against α-amylase) as compared to standard acarbose (IC50 = 38.45 ± 0.10 µM and 1.70 ± 0.10 μM, respectively). In both cases, analogues 5 (IC50 = 1.10 ± 0.10 and 0.40 ± 0.10 μM) and 8 (IC50 = 1.20 ± 0.10 and 0.70 ± 0.10 μM) were identified as the most potent among the series. A structure-activity relationship has been established, which mainly depends upon the substitution pattern around the phenyl ring. The interaction of the most potent analogs with the active site of enzymes was determined through a molecular docking study.

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
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
期刊最新文献
One-pot synthesis of multifunctional magnetic activated carbon from fallen saman leaves to activate persulfate for acid red 18 degradation Interfacial properties, and micellization of surface-active ionic liquid in presence of polymeric solutions Design, synthesis, characterization, invitro anticancer evaluation, computational studies, and in silico ADME assessment of New N-(5-o-tolyl-1,3,4-oxadiazol-2-yl) alkanamides Chemical characterization, antioxidant activity and toxicity of sugars present in Annona cornifolia (Annonaceae) seeds A rapid, efficient microwave-assisted synthesis of novel bis-pyrazole analogues using non-toxic and cost-effective catalyst under green solvent medium
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1