Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/184996
Title: Proteomic tools for the quantitative analysis of artificial peptide libraries: detection and characterization of target-amplified PD-1 inhibitors
Author: Gay i Marín, Marina
Díaz Lobo, Mireia
Gusi Vives, Mar
Arauz-Garofalo, Gianluca
Vilanova, Mar
Giralt Lledó, Ernest
Vilaseca Casas, Marta
Guardiola Bagán, Salvador
Keywords: Proteòmica
Termodinàmica
Proteomics
Thermodynamics
Issue Date: 1-Apr-2022
Publisher: Wiley-VCH
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.
Note: Versió postprint del document publicat a: https://doi.org/10.1002/cbic.202200152
It is part of: ChemBioChem, 2022
URI: http://hdl.handle.net/2445/184996
Related resource: https://doi.org/10.1002/cbic.202200152
ISSN: 1439-7633
Appears in Collections:Articles publicats en revistes (Institut de Recerca Biomèdica (IRB Barcelona))
Articles publicats en revistes (Química Inorgànica i Orgànica)

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