Affinity-Based Selectivity Profiling of an In-Class Selective Competitive Inhibitor of Acyl Protein Thioesterase 2

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• 作者：Sang Joon Won ; Joseph D. Eschweiler ; Jaimeen D. Majmudar ; Fei San Chong ; Sin Ye Hwang ; Brandon T. Ruotolo ; Brent R. Martin
• 刊名：ACS Medicinal Chemistry Letters
• 出版年：2017
• 出版时间：February 9, 2017
• 年：2017
• 卷：8
• 期：2
• 页码：215-220
• 全文大小：369K
• ISSN：1948-5875

文摘

Activity-based protein profiling (ABPP) has revolutionized the discovery and optimization of active-site ligands across distinct enzyme families, providing a robust platform for in-class selectivity profiling. Nonetheless, this approach is less straightforward for profiling reversible inhibitors and does not access proteins outside the ABPP probe’s target profile. While the active-site competitive acyl protein thioesterase 2 inhibitor ML349 (K_i = 120 nM) is highly selective within the serine hydrolase enzyme family, it could still interact with other cellular targets. Here we present a chemoproteomic workflow to enrich and profile candidate ML349-binding proteins. In human cell lysates, biotinylated-ML349 enriches a recurring set of proteins, including metabolite kinases and flavin-dependent oxidoreductases that are potentially enhanced by avidity-driven multimeric interactions. Confirmatory assays by native mass spectrometry and fluorescence polarization quickly rank-ordered these weak off-targets, providing justification to explore ligand interactions and stoichiometry beyond ABPP.