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Mechanistic Insights into the Allosteric Regulation of P53 Y220C by Small-Molecule Stabilizers

  • Yiming Wen
  • , Buying Niu
  • , Jingyi Meng
  • , Danye Chen
  • , Xutong Li
  • , Suilin Zhang
  • , Hans Ågren
  • , Mingyue Zheng*
  • , Dan Teng*
  • *Corresponding author for this work
  • University of Chinese Academy of Sciences
  • ShanghaiTech University
  • Lingang Laboratory
  • CAS - Shanghai Institute of Materia Medica
  • Nanjing University of Chinese Medicine
  • University of Cambridge
  • Uppsala University

Research output: Contribution to journalArticlepeer-review

Abstract

The p53 Y220C mutation is a recurrent hotspot alteration that induces local unfolding and long-range functional disruption, compromising its tumor suppressor activity. While small-molecule stabilizers targeting this mutation have shown therapeutic promise, their underlying allosteric regulatory mechanisms remain poorly defined. Here, we investigate two p53 Y220C stabilizers with near-identical scaffolds but over 60-fold difference in activity, serving as a model to dissect the structural basis of differential efficacy. Through microsecond-scale molecular dynamics simulations and residue interaction network analysis, we reveal that the more active compound not only engages the mutation-induced cavity but also restores long-range cooperative networks and DNA-binding interfaces by rewiring key allosteric communication pathways disrupted by the mutation. Our results uncover a multilayered allosteric rescue mechanism involving dynamic pocket engagement, hydrophobic core reconstruction, and intramolecular signal reactivation. These findings move beyond conventional binding-affinity explanations and highlight the importance of network-level conformational regulation in mutant p53 rescue. This work establishes a mechanistic foundation for rational stabilizer design, proposing a new strategy centered on allosteric network restoration and mutation-adaptable anchoring. It offers broader implications for targeting conformationally unstable transcription factors previously considered “undruggable”.

Original languageEnglish
Pages (from-to)12945-12958
Number of pages14
JournalJournal of Chemical Information and Modeling
Volume65
Issue number23
DOIs
StatePublished - 8 Dec 2025
Externally publishedYes

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