Unraveling the allosteric mechanism and mechanical stability of partial and complete loss-of-function mutations in

Han Zhou1, Tao Zhou1, Shiwei Yan1,2

  • 1School of Physics and Astronomy, Beijing Normal University, Beijing 100875, China.

Insights

Protein mutations cause misfolding and dysfunction. This study reveals how non-hotspot (E180R) and hotspot (R248W) p53 mutations impact protein structure, DNA binding, and dimer stability, offering insights for targeted therapies.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Structural Biology

Background:

  • Protein mutations are central to misfolding and dysfunction, influencing therapeutic strategies.
  • The tumor suppressor protein p53, crucial in DNA binding, is frequently mutated in cancer.
  • Understanding the allosteric mechanisms of non-hotspot p53 mutations is essential for targeted therapies.

Purpose of the Study:

  • To investigate the structural and functional impacts of different p53 mutation types.
  • To elucidate the allosteric mechanisms underlying non-hotspot p53 mutations.
  • To provide atomic-level insights into p53 mutation-associated allostery for therapeutic strategy design.

Main Methods:

  • All-atom molecular dynamics simulations of wild-type (WT) p53, p53-E180R, and p53-R248W dimer-DNA complexes.
  • Steered molecular dynamics simulations to assess dimer dissociation.
  • Analysis of intramolecular interactions, structural flexibility, dimer interface stability, and DNA-binding capacity.

Main Results:

  • Both E180R and R248W mutations weaken intramolecular interactions and increase p53-DNA-binding domain flexibility.
  • E180R impairs dimer stability and cooperative DNA binding by perturbing dimer interface interactions.
  • R248W disrupts loop-DNA interactions, causing loss of DNA-binding capacity; both mutations accelerate dimer dissociation.

Conclusions:

  • The study provides atomic-level insights into the allosteric effects of p53 mutations.
  • Findings reveal distinct mechanisms for hotspot and non-hotspot p53 mutations.
  • This research offers a basis for distinguishing mutation subtypes for prognosis and targeted therapy design.

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