Mutational Disruption of TP53: A Structural Approach to Understanding Chemoresistance

The tumour suppressor protein p53 plays a central role in safeguarding genomic integrity through the regulation of DNA repair, cell cycle arrest, and apoptosis. Mutations in <i>TP53</i>, particularly within its DNA-binding domain, are among the most frequent genetic alterations in human cancers and are strongly associated with chemoresistance and poor prognosis. In this study, all TP53 mutations reported in the COSMIC database were systematically mapped onto all experimentally resolved TP53 three-dimensional structures available in the Protein Data Bank, supplemented with AlphaFold-predicted models to achieve full structural coverage. Mutations were classified according to their structural context-protein core, interface regions, ligand- and zinc-binding sites, and intrinsically disordered regions-and evaluated using complementary sequence- and structure-based predictive tools. The analysis revealed distinct mutational hotspots, differential distribution across structural regions, and context-dependent effects on stability and DNA-binding capacity. Notably, a subset of mutations exhibited consistent predictions of high destabilisation across all structural contexts, underscoring their potential as drivers of functional inactivation. By providing a comprehensive structural map of TP53 alterations, this work offers a valuable resource for understanding mutation-specific mechanisms of p53 dysfunction and for guiding the development of precision therapeutic strategies aimed at restoring its tumour-suppressive functions.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-09-18
DOI
https://doi.org/10.3390/ijms26189135
Citations
1
Primary Topic
Cancer-related Molecular Pathways
Type
article
Field-Weighted Citation Impact
1.05

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article

Mutational Disruption of TP53: A Structural Approach to Understanding Chemoresistance

Ali F. Alsulami
1 citations
International Journal of Molecular Sciences
Cancer-related Molecular Pathways
1.05
article

Mutational Disruption of TP53: A Structural Approach to Understanding Chemoresistance

Ali F. Alsulami
article en
1 citations

Abstract

The tumour suppressor protein p53 plays a central role in safeguarding genomic integrity through the regulation of DNA repair, cell cycle arrest, and apoptosis. Mutations in <i>TP53</i>, particularly within its DNA-binding domain, are among the most frequent genetic alterations in human cancers and are strongly associated with chemoresistance and poor prognosis. In this study, all TP53 mutations reported in the COSMIC database were systematically mapped onto all experimentally resolved TP53 three-dimensional structures available in the Protein Data Bank, supplemented with AlphaFold-predicted models to achieve full structural coverage. Mutations were classified according to their structural context-protein core, interface regions, ligand- and zinc-binding sites, and intrinsically disordered regions-and evaluated using complementary sequence- and structure-based predictive tools. The analysis revealed distinct mutational hotspots, differential distribution across structural regions, and context-dependent effects on stability and DNA-binding capacity. Notably, a subset of mutations exhibited consistent predictions of high destabilisation across all structural contexts, underscoring their potential as drivers of functional inactivation. By providing a comprehensive structural map of TP53 alterations, this work offers a valuable resource for understanding mutation-specific mechanisms of p53 dysfunction and for guiding the development of precision therapeutic strategies aimed at restoring its tumour-suppressive functions.

International Journal of Molecular SciencesVol. 26(18)
King Abdulaziz University (SA)
King Abdulaziz University
Openalex Percentile: Top 18%
Cancer-related Molecular Pathways
1.05
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Mutational Disruption of TP53: A Structural Approach to Understanding Chemoresistance — Ali F. Alsulami · International Journal of Molecular Sciences (2025) | TGRS Research Map | TGRS