上海科技大学知识管理系统

The selectivity of protein kinase inhibitors (PKIs) remains a major challenge in drug discovery. In this study, we present an ultradeep phosphoproteomics approach for assessing PKI selectivity and elucidating mechanisms of action using Zanubrutinib as a model. Two complementary phosphoproteomics strategies were employed: phosphopeptides enriched with Zr4+-IMAC in combination with TiO2 beads were analyzed using data-independent acquisition (DIA), while tyrosine phosphopeptides enriched with SH2-Superbinder were analyzed via data-dependent acquisition (DDA). The comprehensive phosphoproteomic analysis identified that 97 and 316 phosphosites were significantly altered upon Zanubrutinib stimulation in the DDA and DIA data sets, respectively. Bioinformatics analysis of these phosphoproteins provided a detailed selectivity profile of Zanubrutinib, offering insights into its mechanism of action at the molecular level. Compared to existing methods, our approach is more comprehensive, has higher throughput, and is more precise-not only for PKI selectivity assessment but also for broader cell signaling research.