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}
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.
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.