Discovery of compounds that reactivate p53 mutants in vitro and in vivo

Geetha Durairaj1, Özlem Demir2, Bryant Lim3

  • 1Department of Biological Chemistry, University of California, Irvine, Irvine, CA 92697, USA; Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA 92697, USA.

Cell Chemical Biology
|August 10, 2022
PubMed

Insights

Researchers identified small molecules that can restore the function of the tumor suppressor p53 (mutant protein) in cancer. This computational approach shows promise for developing new cancer therapies targeting p53 mutations.

Area of Science:

  • Oncology
  • Molecular Biology
  • Drug Discovery

Background:

  • The p53 protein is a crucial tumor suppressor frequently inactivated by mutations in human cancers.
  • Missense mutations in the DNA binding domain are common, leading to loss of tumor suppressor function.
  • Restoring p53 function presents a significant therapeutic opportunity for various cancers.

Purpose of the Study:

  • To identify small molecules capable of reactivating mutant p53.
  • To demonstrate the feasibility of a computational drug discovery approach for p53 mutations.

Main Methods:

  • Utilized virtual screening to identify potential p53-reactivating compounds.
  • Investigated the UCI-LC0023 compound series for its effects on mutant p53.
  • Assessed compound binding, conformational changes, chromatin association, DNA binding, and transcriptional activity in vitro and in vivo.

Main Results:

  • Identified UCI-LC0023 compounds that bind to mutant p53 and induce conformational changes.
  • Demonstrated restoration of chromatin association and sequence-specific DNA binding for p53 mutants.
  • Showed induction of p53-dependent transcription and inhibition of tumor progression in mutant p53 models.
  • Confirmed specificity for mutant p53, with no effect on p53-null or wild-type p53.

Conclusions:

  • A computational strategy successfully identified small molecules that reactivate mutant p53.
  • The UCI-LC0023 series shows potential as corrector drugs for p53 hotspot mutations.
  • This approach validates the use of computation-guided drug discovery for targeting p53 in cancer therapy.

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