{"title":"天然阿片类镇痛药密天麻叶中微量生物碱的计算研究。","authors":"Ihsanul Arief, Gagus Ketut Sunnardianto, Lala Adetia Marlina, Syahrul Khairi, Herlina Rasyid, Wahyu Dita Saputri","doi":"10.1080/14786419.2025.2570504","DOIUrl":null,"url":null,"abstract":"<p><p>Mitragynine is the most abundant compound in kratom (<i>Mitragyna speciosa</i> Korth). Furthermore, it is not explicitly mentioned which compound(s) essentially contribute to the opioid activity of this plant. In this work, we identify the compounds that are most responsible for the opioid activity. This study was completed with a comprehensive computational framework consisting of virtual screening, frontier molecular orbital profiling, prediction of ADMET properties, and validated using molecular dynamics simulations for 100 ns. The results showed that the most contributing compounds interacting with each opioid receptor are 9-methoxy-mitralactonine (δ-opioid receptor), isomitraphylline (ƙ-opioid receptor), and mitraphylline (μ-opioid receptor). The ADMET profile indicated that the three compounds were predicted to pass the Lipinski rule of five, having a good lead likeness and being relatively non-toxic. The molecular dynamics results exhibited stable complexes between the three receptors and each compound based on the profiles of RMSD and RMSF during the simulations.</p>","PeriodicalId":18990,"journal":{"name":"Natural Product Research","volume":" ","pages":"1-13"},"PeriodicalIF":1.6000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational investigation of minor alkaloids of <i>Mitragyna speciosa</i> Korth leaves as natural opioid analgesics.\",\"authors\":\"Ihsanul Arief, Gagus Ketut Sunnardianto, Lala Adetia Marlina, Syahrul Khairi, Herlina Rasyid, Wahyu Dita Saputri\",\"doi\":\"10.1080/14786419.2025.2570504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Mitragynine is the most abundant compound in kratom (<i>Mitragyna speciosa</i> Korth). Furthermore, it is not explicitly mentioned which compound(s) essentially contribute to the opioid activity of this plant. In this work, we identify the compounds that are most responsible for the opioid activity. This study was completed with a comprehensive computational framework consisting of virtual screening, frontier molecular orbital profiling, prediction of ADMET properties, and validated using molecular dynamics simulations for 100 ns. The results showed that the most contributing compounds interacting with each opioid receptor are 9-methoxy-mitralactonine (δ-opioid receptor), isomitraphylline (ƙ-opioid receptor), and mitraphylline (μ-opioid receptor). The ADMET profile indicated that the three compounds were predicted to pass the Lipinski rule of five, having a good lead likeness and being relatively non-toxic. The molecular dynamics results exhibited stable complexes between the three receptors and each compound based on the profiles of RMSD and RMSF during the simulations.</p>\",\"PeriodicalId\":18990,\"journal\":{\"name\":\"Natural Product Research\",\"volume\":\" \",\"pages\":\"1-13\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Product Research\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1080/14786419.2025.2570504\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Product Research","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1080/14786419.2025.2570504","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
Computational investigation of minor alkaloids of Mitragyna speciosa Korth leaves as natural opioid analgesics.
Mitragynine is the most abundant compound in kratom (Mitragyna speciosa Korth). Furthermore, it is not explicitly mentioned which compound(s) essentially contribute to the opioid activity of this plant. In this work, we identify the compounds that are most responsible for the opioid activity. This study was completed with a comprehensive computational framework consisting of virtual screening, frontier molecular orbital profiling, prediction of ADMET properties, and validated using molecular dynamics simulations for 100 ns. The results showed that the most contributing compounds interacting with each opioid receptor are 9-methoxy-mitralactonine (δ-opioid receptor), isomitraphylline (ƙ-opioid receptor), and mitraphylline (μ-opioid receptor). The ADMET profile indicated that the three compounds were predicted to pass the Lipinski rule of five, having a good lead likeness and being relatively non-toxic. The molecular dynamics results exhibited stable complexes between the three receptors and each compound based on the profiles of RMSD and RMSF during the simulations.
期刊介绍:
The aim of Natural Product Research is to publish important contributions in the field of natural product chemistry. The journal covers all aspects of research in the chemistry and biochemistry of naturally occurring compounds.
The communications include coverage of work on natural substances of land and sea and of plants, microbes and animals. Discussions of structure elucidation, synthesis and experimental biosynthesis of natural products as well as developments of methods in these areas are welcomed in the journal. Finally, research papers in fields on the chemistry-biology boundary, eg. fermentation chemistry, plant tissue culture investigations etc., are accepted into the journal.
Natural Product Research issues will be subtitled either ""Part A - Synthesis and Structure"" or ""Part B - Bioactive Natural Products"". for details on this , see the forthcoming articles section.
All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is single blind and submission is online via ScholarOne Manuscripts.