Tuesday, December 11, 2018

A Chemoproteomic Strategy for Direct and Proteome-wide Covalent Inhibitor Target-site Identification

Christopher Michael Browne, Baishan Jiang, Scott B Ficarro, Zainab M Doctor, Jared Lee Johnson, Joseph D Card, Sindhu Carmen Sivakumaren, William M Alexander, Tomer Yaron, Charles Joseph Murphy, Nicholas P Kwiatkowski, Tinghu Zhang, Lewis C. Cantley, Nathanael S Gray, and Jarrod A. Marto

Journal of the American Chemical Society 2018
DOI: 10.1021/jacs.8b07911

Despite recent clinical successes for irreversible drugs, potential toxicities mediated by unpredictable modification of off-target cysteines represents a major hurdle for expansion of covalent drug programs. Understanding the proteome-wide binding profile of covalent inhibitors can significantly accelerate their development; however, current mass spectrometry strategies typically do not provide a direct, amino acid level readout of covalent activity for complex, selective inhibitors. Here we report the development of CITe-Id, a novel chemoproteomic approach that employs covalent pharmacologic inhibitors as enrichment reagents in combination with an optimized proteomic platform to directly quantify dose-dependent binding at cysteine-thiols across the proteome. CITe-Id analysis of our irreversible CDK inhibitor THZ1 identified dose-dependent covalent modification of several unexpected kinases, including a previously unannotated cysteine (C840) on the understudied kinase PKN3. These data streamlined our development of JZ128 as a new selective covalent inhibitor of PKN3. Using JZ128 as a probe compound, we identified novel potential PKN3 substrates, thus offering an initial molecular view of PKN3 cellular activity. CITe-Id provides a powerful complement to current chemoproteomic platforms to characterize the selectivity of covalent inhibitors, identify new, pharmacologically-addressable cysteine-thiols, and inform structure-based drug design programs.

Overcoming EGFR Resistance by Monovalent and Bident Inhibitors Targeting Cys775

  Zhengnian Li , Jie Jiang , Yaning Wang , Scott B. Ficarro , Stephen J. Collins , Tyler S. Beyett , Ilse K. Schaeffner , Isidoro Tavares , ...