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Competition NMR for Detection of Hit/Lead Inhibitors of Protein-Protein Interactions

Authors: Bogdan Musielak; Weronika Janczyk; Ismael Rodriguez; Jacek Plewka; Dominik Sala; Katarzyna Magiera-Mularz; Tad Holak;

Competition NMR for Detection of Hit/Lead Inhibitors of Protein-Protein Interactions

Abstract

ABSTRACTScreening for small-molecule fragments that can lead to potent inhibitors of protein-protein interactions (PPIs) is often a laborious step as the fragments cannot dissociate the targeted PPI due to their low μM-mM affinities. Here, we describe an NMR competition assay - called w-AIDA-NMR (weak-Antagonist Induced Dissociation Assay-NMR) - that is sensitive to weak μM-mM ligand-protein interactions and which can be used in initial fragment screening campaigns. By introducing point mutations in the complex’s protein that is not targeted by the inhibitor, we lower the effective affinity of the complex allowing for short fragments to dissociate the complex. We illustrate the method with the compounds that block the Mdm2/X-p53 and PD-1/PD-L1 oncogenic interactions. Targeting the PD-/PD-L1 PPI has profoundly advanced the treatment of different types of cancers.

Keywords

Magnetic Resonance Spectroscopy, Programmed Cell Death 1 Receptor, small molecule, Organic chemistry, Proto-Oncogene Proteins c-mdm2, PD-1/PD-L1, NMR, Article, B7-H1 Antigen, Small Molecule Libraries, protein–protein interaction, QD241-441, Mdm2/p53, Humans, Protein Interaction Maps, Tumor Suppressor Protein p53, Protein Binding

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
gold
Related to Research communities
Cancer Research