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

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.

Activity-based protein profiling; chemical proteomics; inhibitor selectivity; native mass spectrometry.