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α-葡萄糖苷酶抑制剂的探索:针对一大组三唑衍生物的综合计算方法。

Exploration of alpha-glucosidase inhibitors: A comprehensive in silico approach targeting a large set of triazole derivatives.

机构信息

Laboratory of Analytical and Molecular Chemistry, Chemistry, Research, and Development, Sciences and Applications, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Sidi Othman, Casablanca, Morocco.

Department of Chemistry, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.

出版信息

PLoS One. 2024 Sep 6;19(9):e0308308. doi: 10.1371/journal.pone.0308308. eCollection 2024.

Abstract

BACKGROUND

The increasing prevalence of diabetes and the side effects associated with current medications necessitate the development of novel candidate drugs targeting alpha-glucosidase as a potential treatment option.

METHODS

This study employed computer-aided drug design techniques to identify potential alpha-glucosidase inhibitors from the PubChem database. Molecular docking was used to evaluate 81,197 compounds, narrowing the set for further analysis and providing insights into ligand-target interactions. An ADMET study assessed the pharmacokinetic properties of these compounds, including absorption, distribution, metabolism, excretion, and toxicity. Molecular dynamics simulations validated the docking results.

RESULTS

9 compounds were identified as potential candidate drugs based on their ability to form stable complexes with alpha-glucosidase and their favorable pharmacokinetic profiles, three of these compounds were subjected to the molecular dynamics, which showed stability throughout the entire 100 ns simulation.

CONCLUSION

These findings suggest promising new alpha-glucosidase inhibitors for diabetes treatment. Further validation through in vitro and in vivo studies is recommended to confirm their efficacy and safety.

摘要

背景

糖尿病患病率的不断上升以及现有药物的副作用,使得开发新型候选药物以靶向α-葡萄糖苷酶成为一种有潜力的治疗选择。

方法

本研究采用计算机辅助药物设计技术,从 PubChem 数据库中筛选出潜在的α-葡萄糖苷酶抑制剂。采用分子对接技术评估了 81197 种化合物,缩小了进一步分析的范围,并深入了解了配体-靶标相互作用。ADMET 研究评估了这些化合物的药代动力学性质,包括吸收、分布、代谢、排泄和毒性。分子动力学模拟验证了对接结果。

结果

基于与α-葡萄糖苷酶形成稳定复合物的能力及其良好的药代动力学特性,确定了 9 种化合物为潜在的候选药物,其中 3 种化合物进行了分子动力学模拟,结果表明在整个 100ns 模拟过程中都很稳定。

结论

这些发现表明有希望开发出新型的α-葡萄糖苷酶抑制剂用于治疗糖尿病。建议通过体外和体内研究进一步验证其疗效和安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/234b/11379377/55d6ce7ecf1c/pone.0308308.g001.jpg

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