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Exploiting Transient Protein States for the Design of Small-Molecule Stabilizers of Mutant p53

Authors: Joerger, Andreas C.; Bauer, Matthias R.; Wilcken, Rainer; Baud, Matthias; Harbrecht, Hannes; Exner, Thomas E.; Boeckler, Frank M.; +2 Authors

Exploiting Transient Protein States for the Design of Small-Molecule Stabilizers of Mutant p53

Abstract

The destabilizing p53 cancer mutation Y220C creates an extended crevice on the surface of the protein that can be targeted by small-molecule stabilizers. Here, we identify different classes of small molecules that bind to this crevice and determine their binding modes by X-ray crystallography. These structures reveal two major conformational states of the pocket and a cryptic, transiently open hydrophobic subpocket that is modulated by Cys220. In one instance, specifically targeting this transient protein state by a pyrrole moiety resulted in a 40-fold increase in binding affinity. Molecular dynamics simulations showed that both open and closed states of this subsite were populated at comparable frequencies along the trajectories. Our data extend the framework for the design of high-affinity Y220C mutant binders for use in personalized anticancer therapy and, more generally, highlight the importance of implementing protein dynamics and hydration patterns in the drug-discovery process.

Country
United Kingdom
Keywords

p53, 570, QD0901, drug design, Molecular Sequence Data, Antineoplastic Agents, Molecular Dynamics Simulation, Article, Structural Biology, Humans, Amino Acid Sequence, transient protein states, Molecular Biology, QD0415, Protein Stability, molecular chaperone, Mutation, Tumor Suppressor Protein p53, mutant rescue, Hydrophobic and Hydrophilic Interactions, QD0241, Protein Binding

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    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).
    Top 10%
    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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selected citations
These citations are derived from selected sources.
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!
50
Top 10%
Top 10%
Top 10%
Green
hybrid