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通过分子对接、MM/GBSA 计算、MD 模拟和 ADMET 分析从天然产物中鉴定潜在的人胰腺α-淀粉酶抑制剂。

Identification of potential human pancreatic α-amylase inhibitors from natural products by molecular docking, MM/GBSA calculations, MD simulations, and ADMET analysis.

机构信息

Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.

Central Department of Physics, Tribhuvan University, Kirtipur, Kathmandu, Nepal.

出版信息

PLoS One. 2023 Mar 16;18(3):e0275765. doi: 10.1371/journal.pone.0275765. eCollection 2023.

Abstract

Human pancreatic α-amylase (HPA), which works as a catalyst for carbohydrate hydrolysis, is one of the viable targets to control type 2 diabetes. The inhibition of α-amylase lowers blood glucose levels and helps to alleviate hyperglycemia complications. Herein, we systematically screened the potential HPA inhibitors from a library of natural products by molecular modeling. The modeling encompasses molecular docking, MM/GBSA binding energy calculations, MD simulations, and ADMET analysis. This research identified newboulaside B, newboulaside A, quercetin-3-O-β-glucoside, and sasastilboside A as the top four potential HPA inhibitors from the library of natural products, whose Glide docking scores and MM/GBSA binding energies range from -9.191 to -11.366 kcal/mol and -19.38 to -77.95 kcal/mol, respectively. Based on the simulation, among them, newboulaside B was found as the best HPA inhibitor. Throughout the simulation, with the deviation of 3Å (acarbose = 3Å), it interacted with ASP356, ASP300, ASP197, THR163, ARG161, ASP147, ALA106, and GLN63 via hydrogen bonding. Additionally, the comprehensive ADMET analysis revealed that it has good pharmacokinetic properties having not acutely toxic, moderately bioavailable, and non-inhibitor nature toward cytochrome P450. All the results suggest that newboulaside B might be a promising candidate for drug discovery against type 2 diabetes.

摘要

人胰腺α-淀粉酶(HPA)作为碳水化合物水解的催化剂,是控制 2 型糖尿病的可行靶点之一。α-淀粉酶的抑制作用可降低血糖水平,有助于缓解高血糖并发症。在此,我们通过分子建模系统地从天然产物文库中筛选潜在的 HPA 抑制剂。该模型包括分子对接、MM/GBSA 结合能计算、MD 模拟和 ADMET 分析。这项研究从天然产物文库中确定了新波拉西定 B、新波拉西定 A、槲皮素-3-O-β-葡萄糖苷和 sasastilboside A 为前四种潜在的 HPA 抑制剂,其 Glide 对接得分和 MM/GBSA 结合能分别在-9.191 到-11.366 kcal/mol 和-19.38 到-77.95 kcal/mol 范围内。基于模拟,其中新波拉西定 B 被发现是最好的 HPA 抑制剂。在整个模拟过程中,偏差为 3Å(阿卡波糖=3Å),它通过氢键与 ASP356、ASP300、ASP197、THR163、ARG161、ASP147、ALA106 和 GLN63 相互作用。此外,综合的 ADMET 分析表明,它具有良好的药代动力学特性,没有急性毒性,中等生物利用度,并且对细胞色素 P450 没有抑制剂的性质。所有结果表明,新波拉西定 B 可能是一种有前途的候选药物,可用于治疗 2 型糖尿病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/564b/10019617/09a34119c05d/pone.0275765.g001.jpg

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