从无花果中提取的腺卡平、马美辛和番茄素作为糖尿病中醛糖还原酶的有希望的抑制剂:生物信息学指导的方法。

IF 3.1 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
M Oliur Rahman, Sheikh Sunzid Ahmed, Ali S Alqahtani, Kaiser Hamid, Maria Sultana, Mohammad Ajmal Ali
{"title":"从无花果中提取的腺卡平、马美辛和番茄素作为糖尿病中醛糖还原酶的有希望的抑制剂:生物信息学指导的方法。","authors":"M Oliur Rahman, Sheikh Sunzid Ahmed, Ali S Alqahtani, Kaiser Hamid, Maria Sultana, Mohammad Ajmal Ali","doi":"10.1007/s12010-024-05160-6","DOIUrl":null,"url":null,"abstract":"<p><p>Diabetes affects approximately 422 million people worldwide, leading to 1.5 million deaths annually and causing severe complications such as kidney failure, neuropathy, and cardiovascular disease. Aldose reductase (AR), a key enzyme in the polyol pathway, is an important therapeutic target for managing these complications. The high cost, severe side effects, and rising drug resistance in traditional diabetes treatments underscore the urgent need for novel AR-targeting antidiabetic agents. Ficus benjamina used in traditional medicine demonstrates promising potential for diabetes management. This study investigated the antidiabetic potential of F. benjamina phytocompounds targeting AR receptor employing a structure-based drug design approach to identify potential antidiabetic drug agents. Using molecular docking, ADMET analysis, molecular dynamics (MD) simulation, MM/GBSA, MM/PBSA, and DFT calculations, we identified three promising lead compounds: adenocarpine (- 9.2 kcal/mol), marmesin (- 8.8 kcal/mol), and lycocernuine (- 8.4 kcal/mol). These compounds presented favorable pharmacokinetic, pharmacodynamic, and toxicity profiles, with a 500-ns MD simulation confirming their stability, supported by PCA and Gibbs FEL analysis. MM/GBSA study identified adenocarpine (- 72.53 kcal/mol) as the best compound, outperforming marmesin (- 70 kcal/mol) and lycocernuine (- 61.95 kcal/mol). DFT analysis revealed that adenocarpine exhibited the highest molecular reactivity (3.914 eV), while lycocernuine demonstrated the greatest kinetic stability (6.377 eV). Marmesin and lycocernuine showed increased reactivity upon transitioning from the free states (4.441 eV and 6.377 eV, respectively) to the bound states (4.359 eV and 6.231 eV, respectively). These results could lead to the development of adenocarpine, marmesin, and lycocernuine as novel drug candidates for diabetes, warranting further in vitro and in vivo validation.</p>","PeriodicalId":465,"journal":{"name":"Applied Biochemistry and Biotechnology","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adenocarpine, Marmesin, and Lycocernuine from Ficus benjamina as Promising Inhibitors of Aldose Reductase in Diabetes: A Bioinformatics-Guided Approach.\",\"authors\":\"M Oliur Rahman, Sheikh Sunzid Ahmed, Ali S Alqahtani, Kaiser Hamid, Maria Sultana, Mohammad Ajmal Ali\",\"doi\":\"10.1007/s12010-024-05160-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Diabetes affects approximately 422 million people worldwide, leading to 1.5 million deaths annually and causing severe complications such as kidney failure, neuropathy, and cardiovascular disease. Aldose reductase (AR), a key enzyme in the polyol pathway, is an important therapeutic target for managing these complications. The high cost, severe side effects, and rising drug resistance in traditional diabetes treatments underscore the urgent need for novel AR-targeting antidiabetic agents. Ficus benjamina used in traditional medicine demonstrates promising potential for diabetes management. This study investigated the antidiabetic potential of F. benjamina phytocompounds targeting AR receptor employing a structure-based drug design approach to identify potential antidiabetic drug agents. Using molecular docking, ADMET analysis, molecular dynamics (MD) simulation, MM/GBSA, MM/PBSA, and DFT calculations, we identified three promising lead compounds: adenocarpine (- 9.2 kcal/mol), marmesin (- 8.8 kcal/mol), and lycocernuine (- 8.4 kcal/mol). These compounds presented favorable pharmacokinetic, pharmacodynamic, and toxicity profiles, with a 500-ns MD simulation confirming their stability, supported by PCA and Gibbs FEL analysis. MM/GBSA study identified adenocarpine (- 72.53 kcal/mol) as the best compound, outperforming marmesin (- 70 kcal/mol) and lycocernuine (- 61.95 kcal/mol). DFT analysis revealed that adenocarpine exhibited the highest molecular reactivity (3.914 eV), while lycocernuine demonstrated the greatest kinetic stability (6.377 eV). Marmesin and lycocernuine showed increased reactivity upon transitioning from the free states (4.441 eV and 6.377 eV, respectively) to the bound states (4.359 eV and 6.231 eV, respectively). These results could lead to the development of adenocarpine, marmesin, and lycocernuine as novel drug candidates for diabetes, warranting further in vitro and in vivo validation.</p>\",\"PeriodicalId\":465,\"journal\":{\"name\":\"Applied Biochemistry and Biotechnology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Biochemistry and Biotechnology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12010-024-05160-6\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Biochemistry and Biotechnology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12010-024-05160-6","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

糖尿病影响全球约4.22亿人,每年导致150万人死亡,并引起严重并发症,如肾衰竭、神经病变和心血管疾病。醛糖还原酶(AR)是多元醇途径中的关键酶,是治疗这些并发症的重要靶点。传统的糖尿病治疗方法成本高、副作用严重、耐药性上升,迫切需要新的靶向ar的降糖药。传统医学中使用的榕树显示出治疗糖尿病的良好潜力。本研究采用基于结构的药物设计方法,研究了本杰明植物化合物靶向AR受体的降糖潜力。通过分子对接、ADMET分析、分子动力学(MD)模拟、MM/GBSA、MM/PBSA和DFT计算,我们确定了三种有希望的先导化合物:腺卡平(- 9.2 kcal/mol)、马梅素(- 8.8 kcal/mol)和番茄素(- 8.4 kcal/mol)。这些化合物表现出良好的药代动力学、药效学和毒性特征,500-ns MD模拟证实了它们的稳定性,并得到了PCA和Gibbs FEL分析的支持。MM/GBSA研究结果表明,腺卡果碱(- 72.53 kcal/mol)为最佳化合物,优于马梅素(- 70 kcal/mol)和番茄素(- 61.95 kcal/mol)。DFT分析结果表明,腺卡果碱的分子反应活性最高(3.914 eV),而番茄素的分子反应稳定性最高(6.377 eV)。从自由态(分别为4.441和6.377 eV)过渡到结合态(分别为4.359和6.231 eV)后,马尔梅素和番茄红素的反应性增强。这些结果可能会导致腺卡泊平、马mesin和番茄素作为糖尿病的新型候选药物的发展,需要进一步的体外和体内验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adenocarpine, Marmesin, and Lycocernuine from Ficus benjamina as Promising Inhibitors of Aldose Reductase in Diabetes: A Bioinformatics-Guided Approach.

Diabetes affects approximately 422 million people worldwide, leading to 1.5 million deaths annually and causing severe complications such as kidney failure, neuropathy, and cardiovascular disease. Aldose reductase (AR), a key enzyme in the polyol pathway, is an important therapeutic target for managing these complications. The high cost, severe side effects, and rising drug resistance in traditional diabetes treatments underscore the urgent need for novel AR-targeting antidiabetic agents. Ficus benjamina used in traditional medicine demonstrates promising potential for diabetes management. This study investigated the antidiabetic potential of F. benjamina phytocompounds targeting AR receptor employing a structure-based drug design approach to identify potential antidiabetic drug agents. Using molecular docking, ADMET analysis, molecular dynamics (MD) simulation, MM/GBSA, MM/PBSA, and DFT calculations, we identified three promising lead compounds: adenocarpine (- 9.2 kcal/mol), marmesin (- 8.8 kcal/mol), and lycocernuine (- 8.4 kcal/mol). These compounds presented favorable pharmacokinetic, pharmacodynamic, and toxicity profiles, with a 500-ns MD simulation confirming their stability, supported by PCA and Gibbs FEL analysis. MM/GBSA study identified adenocarpine (- 72.53 kcal/mol) as the best compound, outperforming marmesin (- 70 kcal/mol) and lycocernuine (- 61.95 kcal/mol). DFT analysis revealed that adenocarpine exhibited the highest molecular reactivity (3.914 eV), while lycocernuine demonstrated the greatest kinetic stability (6.377 eV). Marmesin and lycocernuine showed increased reactivity upon transitioning from the free states (4.441 eV and 6.377 eV, respectively) to the bound states (4.359 eV and 6.231 eV, respectively). These results could lead to the development of adenocarpine, marmesin, and lycocernuine as novel drug candidates for diabetes, warranting further in vitro and in vivo validation.

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
Applied Biochemistry and Biotechnology
Applied Biochemistry and Biotechnology 工程技术-生化与分子生物学
CiteScore
5.70
自引率
6.70%
发文量
460
审稿时长
5.3 months
期刊介绍: This journal is devoted to publishing the highest quality innovative papers in the fields of biochemistry and biotechnology. The typical focus of the journal is to report applications of novel scientific and technological breakthroughs, as well as technological subjects that are still in the proof-of-concept stage. Applied Biochemistry and Biotechnology provides a forum for case studies and practical concepts of biotechnology, utilization, including controls, statistical data analysis, problem descriptions unique to a particular application, and bioprocess economic analyses. The journal publishes reviews deemed of interest to readers, as well as book reviews, meeting and symposia notices, and news items relating to biotechnology in both the industrial and academic communities. In addition, Applied Biochemistry and Biotechnology often publishes lists of patents and publications of special interest to readers.
×
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