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Updated: Jul 19, 2025

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Yeast As a Chassis for Developing Functional Assays to Study Human P53
Published on: August 4, 2019
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AI-powered discovery of a novel p53-Y220C reactivator
Shan Zhou1, Dafei Chai1, Xu Wang1
1Department of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, United States.
Frontiers in Oncology
|August 18, 2023
Summary
Artificial intelligence identified compound H3, which restores wild-type p53 conformation in the p53-Y220C mutation. This compound selectively kills cancer cells and inhibits tumor growth in mice.
Area of Science:
- Oncology
- Molecular Biology
- Drug Discovery
Background:
- The p53-Y220C mutation is a frequent driver of cancer progression.
- Restoring wild-type p53 function is a therapeutic strategy for cancers with this mutation.
Purpose of the Study:
- To identify small-molecule compounds that restore wild-type p53 conformation in the p53-Y220C mutant.
- To evaluate the efficacy of identified compounds in preclinical cancer models.
Main Methods:
- Artificial intelligence (AI)-powered virtual screening of 10 million compounds.
- Experimental validation using cell lines with various p53 mutations.
- In vivo efficacy assessment in a mouse xenograft model.
Main Results:
- AI identified 83 high-scoring compounds, with H3 showing preferential activity against p53-Y220C mutant cells.
- Compound H3 restored wild-type p53 conformation and transcriptional activity.
- H3 induced cell cycle arrest, apoptosis, and reduced tumor growth in mice.
Conclusions:
- AI facilitated the discovery of H3, a selective p53-Y220C reactivator.
- H3 demonstrates therapeutic potential for inhibiting tumor development in p53-Y220C-driven cancers.
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