4.5 Article

Inhibition of Lipase by Orlistat: Kinetics Combined with In Silico Approaches to Visualize Interactions

期刊

JOURNAL OF CHEMICAL EDUCATION
卷 98, 期 5, 页码 1762-1767

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jchemed.0c01184

关键词

Biochemistry; Enzymes; Molecular Modeling; Upper-Division Undergraduate; Laboratory Computing/Interfacing

资金

  1. FODEIN-USTA [19105040]

向作者/读者索取更多资源

The study investigated the inhibition of porcine pancreatic lipase by the drug orlistat using a combination of experimental and computational methods. Docking calculations were recommended to understand enzyme-ligand interactions and the inhibitor mechanism of action, while sequence analysis was used to compare enzyme structures across different organisms. Additionally, an educational project proposed for biochemistry or pharmacy students can enhance understanding of enzyme kinetics, binding sites, and enzyme-ligand interactions through visualizations.
The inhibition of porcine pancreatic lipase by the drug orlistat was studied through a series of activities that combine experimental and computational procedures. The enzymatic activity of the lipase was determined by measuring enzyme kinetics and calculating parameters such as K-m and V-max from experimental data. Assays of lipase inhibition by orlistat were used to construct Linewaver-Burk and Dixon plots. Docking calculations are highly recommended to visualize the enzyme-ligand interactions and as an approach to decipher the inhibitor mechanism of action. Furthermore, sequence analysis was included to compare enzyme structures across different organisms, specifically between human and pig as closely related study models, and complement the docking simulations. The educational project proposed here for biochemistry or pharmacy students can enhance the understanding of concepts regarding enzyme kinetics, binding sites, and enzyme-ligand interactions through visualizations.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据