Introduction: The mutation is one of the most common mutations that play a major role in cancer progression.
Methods: In this study, we applied artificial intelligence (AI)-powered virtual screening to identify small-molecule compounds that specifically restore the wild-type p53 conformation from p53-Y220C. From 10 million compounds, the AI algorithm selected a chemically diverse set of 83 high-scoring hits, which were subjected to several experimental assays using cell lines with different p53 mutations.
Results: We identified one compound, H3, that preferentially killed cells with the mutation compared to cells with other p53 mutations. H3 increased the amount of folded mutant protein with wild-type p53 conformation, restored its transcriptional functions, and caused cell cycle arrest and apoptosis. Furthermore, H3 reduced tumorigenesis in a mouse xenograft model with -positive cells.
Conclusion: AI enabled the discovery of the H3 compound that selectively reactivates the p53-Y220C mutant and inhibits tumor development in mice.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430779 | PMC |
| http://dx.doi.org/10.3389/fonc.2023.1229696 | DOI Listing |
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