Affinity Enrichment Chemoproteomics for Target Deconvolution and Selectivity Profiling

Methods Mol Biol. 2021:2228:237-252. doi: 10.1007/978-1-0716-1024-4_17.

Abstract

In order to understand the full mechanism of action of candidate drug molecules, it is critical to thoroughly characterize their interactions with endogenously expressed pharmacological targets and potentially undesired off-targets. Here we describe a chemoproteomics approach that is based on functionalized analogs of the compound of interest to affinity enrich target proteins from cell or tissue extracts. Experiments are designed as competition binding assays where free parental compound is spiked at a range of concentrations into the extracts to compete specific binders off the immobilized compound matrix. Quantification of matrix-bound proteins enables generation of dose-response curves and half-binding concentrations. In addition, the influence of the affinity matrix on the equilibrium is determined in rebinding experiments. TMT10 isobaric mass tags enable analyzing repeat binding and dose-dependent competition samples in a single mass spectrometry analysis run, thus enabling the efficient identification of targets, apparent dissociation constants, and selectivity of small molecules in a single experiment. The workflow is exemplified with the kinase inhibitor sunitinib.

Keywords: Affinity enrichment; Chemoproteomics; Competition binding assay; Selectivity profiling; Tandem mass tag.

MeSH terms

  • Animals
  • Binding, Competitive
  • Female
  • Humans
  • Placenta / metabolism
  • Pregnancy
  • Protein Binding
  • Protein Kinase Inhibitors / metabolism*
  • Protein Kinase Inhibitors / pharmacology
  • Proteins / analysis*
  • Proteomics*
  • Research Design
  • Sunitinib / metabolism*
  • Sunitinib / pharmacology
  • Tandem Mass Spectrometry*

Substances

  • Protein Kinase Inhibitors
  • Proteins
  • Sunitinib