Druggable sites/pockets of the p53-DNAJA1 protein–protein interaction: In silico modeling and in vitro/in vivo validation

Danielle Jacobsen, Omar Bushara, Rama K. Mishra, Leyu Sun, Jie Liao, Guang Yu Yang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Mutation of p53 is the most common genetic alteration in human cancer. The vast majority of p53 mutations found in cancer are missense mutations, with some single nucleotide point mutations leading to the accumulation of mutant p53 protein with potential gain of oncogenic function. The mechanism for stabilization and accumulation of missense mutant p53 protein in malignant cells is not fully understood. It is thought that DNAJA1 plays a crucial role as a co-chaperone protein by stabilizing mutant p53 and amplifying oncogenic potential. As such, identifying small molecule inhibitors to disrupt the protein–protein interaction between mutant p53 and DNAJA1 may lead to an effective treatment for preventing carcinogenesis. Studying protein–protein interactions and identifying potential druggable hotspots has historically been limited—protein–protein binding sites require more complex characterization than those of single proteins and the crystal structures of many proteins have not been identified. Due to these issues, identifying salient druggable targets in protein–protein interactions through bench research may take years to complete. However, in silico modeling approaches allow for rapid characterization of protein–protein interfaces and the druggable binding sites they contain. In this chapter, we first review the oncogenic potential of mutant p53 and the crucial role of DNAJA1 in stabilizing missense mutant p53. We then detail our methodology for using in silico modeling and molecular biology to identify druggable protein–protein interaction sites/pockets between mutant p53 and DNAJA1. Finally, we discuss screening for and validating the utility of a small molecule inhibitor identified through our in silico framework. Specifically, we describe GY1-22, a unique compound with activity against mutant p53 that demonstrates therapeutic potential to inhibit cancer cell growth both in vivo and in vitro.

Original languageEnglish (US)
Title of host publicationIntegrated Methods in Protein Biochemistry
Subtitle of host publicationPart A
EditorsArun K. Shukla
PublisherAcademic Press Inc
Pages83-107
Number of pages25
ISBN (Print)9780323992664
DOIs
StatePublished - Jan 2022

Publication series

NameMethods in Enzymology
Volume675
ISSN (Print)0076-6879
ISSN (Electronic)1557-7988

Funding

The authors declare no conflicts of interest regarding this study.

Keywords

  • Cochaperone
  • DNAJA1
  • Homology model
  • Interacting pocket
  • Machine learning
  • Missense mutation
  • Oncogenesis
  • Protein–protein docking
  • p53

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

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