酶
药物发现
小分子
仿形(计算机编程)
生物化学
化学
计算生物学
生物
细胞生物学
计算机科学
操作系统
作者
Bernard P. Kok,Srijana Ghimire,Woojoo E. Kim,Shreyosree Chatterjee,Tyler Johns,Seiya Kitamura,Jérôme Eberhardt,Daisuke Ogasawara,Janice H. Xu,Ara Sukiasyan,Sean Kim,Cristina Godio,Julia M. Bittencourt,Michael D. Cameron,Andrea Galmozzi,Stefano Forli,Dennis W. Wolan,Benjamin F. Cravatt,Dale L. Boger,Enrique Sáez
标识
DOI:10.1038/s41589-020-0555-4
摘要
Activity-based protein profiling (ABPP) has been used extensively to discover and optimize selective inhibitors of enzymes. Here, we show that ABPP can also be implemented to identify the converse—small-molecule enzyme activators. Using a kinetically controlled, fluorescence polarization-ABPP assay, we identify compounds that stimulate the activity of LYPLAL1—a poorly characterized serine hydrolase with complex genetic links to human metabolic traits. We apply ABPP-guided medicinal chemistry to advance a lead into a selective LYPLAL1 activator suitable for use in vivo. Structural simulations coupled to mutational, biochemical and biophysical analyses indicate that this compound increases LYPLAL1's catalytic activity likely by enhancing the efficiency of the catalytic triad charge-relay system. Treatment with this LYPLAL1 activator confers beneficial effects in a mouse model of diet-induced obesity. These findings reveal a new mode of pharmacological regulation for this large enzyme family and suggest that ABPP may aid discovery of activators for additional enzyme classes. Activity-based protein profiling (ABPP) was used to identify and optimize bioactive, selective pharmacological enzyme activators of the serine hydrolase LYPLAL1, which improved the metabolic defects of diet-induced obese mice.
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