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 , 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","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 , 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\",\"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}
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.
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.