caspase 3植物化合物抑制剂作为β细胞凋亡治疗的发展选择:一种计算机方法

Igbokwe Chikodili, Ibe Chioma, Ilechukwu Ukamaka, Oju Nnenna, O. Ogechukwu, Ernest Eze Mmesoma, Ekeomodi Chikodi, Ejiofor IfedibaluChukwu
{"title":"caspase 3植物化合物抑制剂作为β细胞凋亡治疗的发展选择:一种计算机方法","authors":"Igbokwe Chikodili, Ibe Chioma, Ilechukwu Ukamaka, Oju Nnenna, O. Ogechukwu, Ernest Eze Mmesoma, Ekeomodi Chikodi, Ejiofor IfedibaluChukwu","doi":"10.58920/sciphy02010017","DOIUrl":null,"url":null,"abstract":"The prevalence of Diabetes mellitus (DM) is continuously rising worldwide. Among its types, type I is characterized by the destruction of beta cells triggered by various mechanisms, including the activation of Caspase 3. Studies have demonstrated the crucial role of Caspase 3 in initiating the apoptosis of beta cells in DM. Our research aims to identify possible phytocompounds inhibitors of Caspase 3 using computational approach. We obtained 3D structures of Caspase 3 and 6511 phytocompounds from the Protein Data Bank and the African Natural Products Database, respectively. The phytocompounds were assessed for druglikeness properties, topological polar surface area, and preliminary toxicity using DataWarrior. The phytocompounds were subjected to molecular docking simulation (MDS) at Caspase 3 active site using AutoDock-Vina. The frontrunner phytocompounds obtained from the MDS were subjected to protease inhibition prediction on Molinspiration. The pharmacokinetics of the phytocompounds were assessed on SwissADME. The in-depth computational toxicity profile of the phytocompounds was evaluated on the pkCSM web. The binding interactions of the phytocompounds with Caspase 3 were assessed with Discovery Studio Visualizer and Maestro. Seventeen phytocompounds were found to have no violation of Lipinski's rule and had no toxicity based on the preliminary assessment, have better binding affinity and protease inhibitory prediction scores than the references, have optimistic bioactivity radar prediction and similar amino acids interaction, in comparison with the references. Further studies, which include in-vitro and in-vivo studies, will be carried out to validate the results of this study.","PeriodicalId":287837,"journal":{"name":"Sciences of Phytochemistry","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Phytocompound inhibitors of caspase 3 as beta-cell apoptosis treatment development option: An In-silico approach\",\"authors\":\"Igbokwe Chikodili, Ibe Chioma, Ilechukwu Ukamaka, Oju Nnenna, O. Ogechukwu, Ernest Eze Mmesoma, Ekeomodi Chikodi, Ejiofor IfedibaluChukwu\",\"doi\":\"10.58920/sciphy02010017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The prevalence of Diabetes mellitus (DM) is continuously rising worldwide. Among its types, type I is characterized by the destruction of beta cells triggered by various mechanisms, including the activation of Caspase 3. Studies have demonstrated the crucial role of Caspase 3 in initiating the apoptosis of beta cells in DM. Our research aims to identify possible phytocompounds inhibitors of Caspase 3 using computational approach. We obtained 3D structures of Caspase 3 and 6511 phytocompounds from the Protein Data Bank and the African Natural Products Database, respectively. The phytocompounds were assessed for druglikeness properties, topological polar surface area, and preliminary toxicity using DataWarrior. The phytocompounds were subjected to molecular docking simulation (MDS) at Caspase 3 active site using AutoDock-Vina. The frontrunner phytocompounds obtained from the MDS were subjected to protease inhibition prediction on Molinspiration. The pharmacokinetics of the phytocompounds were assessed on SwissADME. The in-depth computational toxicity profile of the phytocompounds was evaluated on the pkCSM web. The binding interactions of the phytocompounds with Caspase 3 were assessed with Discovery Studio Visualizer and Maestro. Seventeen phytocompounds were found to have no violation of Lipinski's rule and had no toxicity based on the preliminary assessment, have better binding affinity and protease inhibitory prediction scores than the references, have optimistic bioactivity radar prediction and similar amino acids interaction, in comparison with the references. Further studies, which include in-vitro and in-vivo studies, will be carried out to validate the results of this study.\",\"PeriodicalId\":287837,\"journal\":{\"name\":\"Sciences of Phytochemistry\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sciences of Phytochemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58920/sciphy02010017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sciences of Phytochemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58920/sciphy02010017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

糖尿病(DM)的患病率在世界范围内持续上升。在其类型中,I型的特点是通过多种机制触发β细胞的破坏,包括激活Caspase 3。研究表明,Caspase 3在糖尿病β细胞凋亡中起着至关重要的作用。我们的研究旨在通过计算方法确定Caspase 3可能的植物化合物抑制剂。我们分别从蛋白质数据库和非洲天然产物数据库中获得了Caspase 3和6511种植物化合物的3D结构。使用DataWarrior评估植物化合物的药物相似性、拓扑极性表面积和初步毒性。利用AutoDock-Vina进行Caspase 3活性位点的分子对接模拟(MDS)。从MDS中获得的领先植物化合物在Molinspiration上进行了蛋白酶抑制预测。在SwissADME上评价了植物化合物的药代动力学。在pkCSM网络上对植物化合物的深度计算毒性进行了评估。利用Discovery Studio Visualizer和Maestro评估植物化合物与Caspase 3的结合相互作用。初步评价发现17个植物化合物不违反Lipinski规则,无毒性,结合亲和力和蛋白酶抑制预测得分高于参考文献,生物活性雷达预测乐观,氨基酸相互作用相似,与参考文献相比。将进行进一步的研究,包括体外和体内研究,以验证本研究的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phytocompound inhibitors of caspase 3 as beta-cell apoptosis treatment development option: An In-silico approach
The prevalence of Diabetes mellitus (DM) is continuously rising worldwide. Among its types, type I is characterized by the destruction of beta cells triggered by various mechanisms, including the activation of Caspase 3. Studies have demonstrated the crucial role of Caspase 3 in initiating the apoptosis of beta cells in DM. Our research aims to identify possible phytocompounds inhibitors of Caspase 3 using computational approach. We obtained 3D structures of Caspase 3 and 6511 phytocompounds from the Protein Data Bank and the African Natural Products Database, respectively. The phytocompounds were assessed for druglikeness properties, topological polar surface area, and preliminary toxicity using DataWarrior. The phytocompounds were subjected to molecular docking simulation (MDS) at Caspase 3 active site using AutoDock-Vina. The frontrunner phytocompounds obtained from the MDS were subjected to protease inhibition prediction on Molinspiration. The pharmacokinetics of the phytocompounds were assessed on SwissADME. The in-depth computational toxicity profile of the phytocompounds was evaluated on the pkCSM web. The binding interactions of the phytocompounds with Caspase 3 were assessed with Discovery Studio Visualizer and Maestro. Seventeen phytocompounds were found to have no violation of Lipinski's rule and had no toxicity based on the preliminary assessment, have better binding affinity and protease inhibitory prediction scores than the references, have optimistic bioactivity radar prediction and similar amino acids interaction, in comparison with the references. Further studies, which include in-vitro and in-vivo studies, will be carried out to validate the results of this 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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信