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Proteomic Tools for the Quantitative Analysis of Artificial Peptide Libraries: Detection and Characterization of Target-Amplified PD-1 Inhibitors
Authors:Marina Gay  Mireia Díaz-Lobo  Mar Gusi-Vives  Gianluca Arauz-Garofalo  Mar Vilanova  Ernest Giralt  Marta Vilaseca  Salvador Guardiola
Affiliation:1. Institute for Research in Biomedicine (IRB Barcelona), BIST (Barcelona Institute of Science and Technology), Baldiri Reixac 10, Barcelona, 08028 Spain;2. Institute for Research in Biomedicine (IRB Barcelona), BIST (Barcelona Institute of Science and Technology), Baldiri Reixac 10, Barcelona, 08028 Spain

Department of Inorganic and Organic Chemistry, Universitat de Barcelona, Martí Franques 1–11, Barcelona, 08028 Spain

Abstract:We report a quantitative proteomics data analysis pipeline, which coupled to protein-directed dynamic combinatorial chemistry (DDC) experiments, enables the rapid discovery and direct characterization of protein-protein interaction (PPI) modulators. A low-affinity PD-1 binder was incubated with a library of >100 D-peptides under thiol-exchange favoring conditions, in the presence of the target protein PD-1, and we determined the S-linked dimeric species that resulted, amplified in the protein samples versus the controls. We chemically synthesized the target dimer candidates and validated them by thermophoresis binding and protein-protein interaction assays. The results provide a proof-of-concept for using this strategy in the high-throughput search of improved drug-like peptide binders that block therapeutically relevant protein-protein interactions.
Keywords:dynamic combinatorial chemistry  peptides  protein-protein interactions  molecular recognition  proteomics
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