{"title":"人β-葡萄糖醛酸酶抑制剂双吲哚甲烷衍生物的分子模拟与对接分析","authors":"M. T. Ibrahim, U. Muhammad","doi":"10.4314/bajopas.v14i1.4","DOIUrl":null,"url":null,"abstract":"β-glucuronidase enzyme is present mostly in mammals’ tissues. β-glucuronidase is present in kidney, bile, serum, urine and spleen. In eukaryotic and prokaryotic organisms, it is important in the process of breaking down of β-glucuronide. It also helps in the neutralization of reactivity of some metabolites that are associated to many diseases. The most stable geometry of the dataset were obtained adopting DFT method at B3LYP/6-31G* level of theory. The model was developed using MLR analysis adopting GFA method. Molecular docking was also performed to portray the binding mode of these bis-indolymethanes derivatives in the binding pocket of their target receptor (human β-glucuronidase). The selected model was assessed and chosen based on its statistical fitness with R2trng=0.907233, R2adj=0.881465, Qcv2=0.833795, and R2test=0.609841. And also, the significance and impart of each physicochemical parameters to the selected model were determine by their ME values. Molecular docking analysis revealed that amino acid such as ALA49, SER52, ASP53, PHE51, VAL96, LEU92, TYR188, TYR199 and PHE200 might be responsible for the most promised binding affinity of the reported docked ligands. The molecular docking results showed that the reported compounds were better than the standard β-glucuronidase inhibitor. The results of this findings paved way for designing novel β-lucuronidase inhibitors.","PeriodicalId":8734,"journal":{"name":"Bayero Journal of Pure and Applied Sciences","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular modeling and docking analysis of bis-indolymethanes derivatives as human β-glucuronidase enzyme inhibitors\",\"authors\":\"M. T. Ibrahim, U. Muhammad\",\"doi\":\"10.4314/bajopas.v14i1.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"β-glucuronidase enzyme is present mostly in mammals’ tissues. β-glucuronidase is present in kidney, bile, serum, urine and spleen. In eukaryotic and prokaryotic organisms, it is important in the process of breaking down of β-glucuronide. It also helps in the neutralization of reactivity of some metabolites that are associated to many diseases. The most stable geometry of the dataset were obtained adopting DFT method at B3LYP/6-31G* level of theory. The model was developed using MLR analysis adopting GFA method. Molecular docking was also performed to portray the binding mode of these bis-indolymethanes derivatives in the binding pocket of their target receptor (human β-glucuronidase). The selected model was assessed and chosen based on its statistical fitness with R2trng=0.907233, R2adj=0.881465, Qcv2=0.833795, and R2test=0.609841. And also, the significance and impart of each physicochemical parameters to the selected model were determine by their ME values. Molecular docking analysis revealed that amino acid such as ALA49, SER52, ASP53, PHE51, VAL96, LEU92, TYR188, TYR199 and PHE200 might be responsible for the most promised binding affinity of the reported docked ligands. The molecular docking results showed that the reported compounds were better than the standard β-glucuronidase inhibitor. The results of this findings paved way for designing novel β-lucuronidase inhibitors.\",\"PeriodicalId\":8734,\"journal\":{\"name\":\"Bayero Journal of Pure and Applied Sciences\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bayero Journal of Pure and Applied Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4314/bajopas.v14i1.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bayero Journal of Pure and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/bajopas.v14i1.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Molecular modeling and docking analysis of bis-indolymethanes derivatives as human β-glucuronidase enzyme inhibitors
β-glucuronidase enzyme is present mostly in mammals’ tissues. β-glucuronidase is present in kidney, bile, serum, urine and spleen. In eukaryotic and prokaryotic organisms, it is important in the process of breaking down of β-glucuronide. It also helps in the neutralization of reactivity of some metabolites that are associated to many diseases. The most stable geometry of the dataset were obtained adopting DFT method at B3LYP/6-31G* level of theory. The model was developed using MLR analysis adopting GFA method. Molecular docking was also performed to portray the binding mode of these bis-indolymethanes derivatives in the binding pocket of their target receptor (human β-glucuronidase). The selected model was assessed and chosen based on its statistical fitness with R2trng=0.907233, R2adj=0.881465, Qcv2=0.833795, and R2test=0.609841. And also, the significance and impart of each physicochemical parameters to the selected model were determine by their ME values. Molecular docking analysis revealed that amino acid such as ALA49, SER52, ASP53, PHE51, VAL96, LEU92, TYR188, TYR199 and PHE200 might be responsible for the most promised binding affinity of the reported docked ligands. The molecular docking results showed that the reported compounds were better than the standard β-glucuronidase inhibitor. The results of this findings paved way for designing novel β-lucuronidase inhibitors.