6种药用植物抗2型糖尿病相关SIRT-6蛋白的治疗潜力及分子对接研究

Ishola Abeeb Akinwumi, Barakat Ishola, Riswat Musbau, Aishat Abubakar, Adefolarin Owojuyigbe
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引用次数: 0

摘要

尽管已经批准的抗糖尿病药物种类繁多,而且这些药物往往伴随着其他严重的副作用,如心血管疾病、体重增加、肝脏疾病等,但2型糖尿病的患病率仍在飙升。通过计算机分析,我们的研究旨在阐明6种药用植物的抗糖尿病潜能,这些植物包括:毛菖蒲、苦杏仁、含羞草、苦瓜、毛菖蒲和芒果。方法:从6种植物中筛选出29种活性化合物。本研究以二甲双胍和米格列醇为对照药物。利用在线服务器PubChem获取生物活性化合物和对照药物的3D结构。利用蛋白质数据库检索SIRT6蛋白的晶体结构。采用SwissADME在线服务器对生物活性化合物与对照药物进行药物相似性分析。AutoDock用于与SIRT6活性位点通过药物相似性的化合物进行分子对接。使用蛋白质-配体相互作用分析器和蛋白质+ web服务器分析蛋白质-配体复合物。利用Molinspiration在线服务器预测化合物的生物活性。ADMETlab网站服务器用于确定配体的ADMET性质。结果:29种化合物与对照药物的药物相似性筛选结果显示,25种化合物不违反利平斯基规则。二甲双胍和米格列醇零违规。对接分析表明,与蛋白靶点对接的25个化合物中有20个比对照药物具有更好的结合亲和力。儿茶素、木草素、绿原酸和米莫普定具有极好的结合亲和力,分别为-8.4 kcal/mol、-7.8 kcal/mol、-7.7 kcal/mol和-7.5 kcal/mol。相比之下,二甲双胍和米格列醇的结合评分分别为-4.8和-5.1 kcal/mol。结论:与对照药物相比,这20种化合物具有更大的结合亲和力,表明这些化合物与SIRT6蛋白具有良好的相互作用,具有抗糖尿病作用。然而,这项研究还需要进一步的分子动力学研究和体外和体内评价来验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Therapeutic Potential and Molecular Docking Perspective of Six Medicinal Plants against the Human SIRT-6 Protein Implicated in Type-2 Diabetes.
Despite the vast array of approved anti-diabetic drugs and the fact that these medications are often associated with other serious side effects like cardiovascular disease, weight gain, liver disorders, and countless others, the prevalence of Type-2 diabetes is soaring. Through in silico analysis, our study seeks to elucidate the anti-diabetic potential of six (6) medicinal plants Buchholzia coriacea, Vernonia amygdalina, Mimosa pudica, Momordica charantia, Bergenia ciliate, and Mangifera indica. Methods: Twenty-nine (29) bioactive compounds were selected from the six plants. Metformin and Miglitol are used as the control drug in this study. PubChem, an online server, was used to get the 3D structure of the bioactive compounds and the control drugs. The protein data bank was used to retrieve the crystal structure of the SIRT6 protein. The SwissADME online server was used for the Drug-likeness of the bioactive compounds and the control drugs. AutoDock was used for the molecular docking of compounds that passed the drug-likeness with the SIRT6 active site. The protein-ligand complexes were analyzed using a protein-ligand interaction profiler and proteins plus web server. The Molinspiration online server was used to predict compound bioactivity. The ADMETlab webserver was used to determine the ligands' ADMET properties. Results: The drug-likeness screening of the twenty-nine compounds and the control drugs revealed that twenty-five compounds have zero or one violation of Lipinski's rule of five. Metformin and Miglitol have zero violations. The docking analysis revealed that twenty out of the twenty-five compounds docked against the protein target have better binding affinity than the control drugs. Catechin, Luteolin, Chlorogenic acid, and Mimopudine have an excellent binding affinity of -8.4 kcal/mol -7.8 kcal/mol, -7.7 kcal/mol, and -7.5 kcal/mol, respectively. In contrast, Metformin and Miglitol have binding scores of -4.8 and -5.1 kcal/mol, respectively. Conclusions: Therefore, the greater binding affinity of the twenty compounds compared to the control drugs suggests that these compounds possess anti-diabetic properties with good interaction with the SIRT6 protein. However, this research needs further validation with molecular dynamics studies and in-vitro and in-vivo evaluation.
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