Associated Papers
Neoantigenic properties of TP53 variants influence cancer risk in individuals with Li-Fraumeni syndrome.
Montellier E et al.
Ebiomedicine, 2026
A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome.
Fortuno C et al.
Genome Medicine, 2025
TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.
Fischer NW et al.
Nature Communications, 2025
Investigation of the impact of R273H and R273C mutations on the DNA binding domain of P53 protein through molecular dynamic simulation.
R HC et al.
Journal of Biomolecular Structure & Dynamics, 2025
Clustering of TP53 variants into functional classes correlates with cancer risk and identifies different phenotypes of Li-Fraumeni syndrome.
Montellier E et al.
Iscience, 2024
Navigating the complexity of p53-DNA binding: implications for cancer therapy.
Thayer KM et al.
Biophysical Reviews, 2024
Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.
Sasaki K et al.
Scientific Reports, 2023
Targeting p53 pathways: mechanisms, structures, and advances in therapy.
Wang H et al.
Signal Transduction and Targeted Therapy, 2023
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
Low-frequency collective motion of DNA-binding domain defines p53 function.
Zhang G et al.
Proteins, 2022
Chemical rescue of mutant proteins in living Saccharomyces cerevisiae cells by naturally occurring small molecules.
Hassell DS et al.
G3 (bethesda, Md.), 2021
Analysis and Interpretation of the Impact of Missense Variants in Cancer.
Petrosino M et al.
International Journal of Molecular Sciences, 2021
Identification and functional characterization of new missense SNPs in the coding region of the TP53 gene.
Doffe F et al.
Cell Death and Differentiation, 2021
Chaperones and Ubiquitin Ligases Balance Mutant p53 Protein Stability in Esophageal and Other Digestive Cancers.
Martinho MS et al.
Cellular and Molecular Gastroenterology and Hepatology, 2021
Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, In Silico Analysis.
Shinwari K et al.
Thescientificworldjournal, 2021
On the complexity measures of mutation hotspots in human TP53 protein.
Ding Y et al.
Chaos (woodbury, N.y.), 2020
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
Mutational processes shape the landscape of TP53 mutations in human cancer.
Giacomelli AO et al.
Nature Genetics, 2018
Concordance between genomic alterations assessed by next-generation sequencing in tumor tissue or circulating cell-free DNA.
Chae YK et al.
Oncotarget, 2016
Reactivation of mutant p53: Constraints on mechanism highlighted by principal component analysis of the DNA binding domain.
Ouaray Z et al.
Proteins, 2016
TP53 mutants in the tower of babel of cancer progression.
Bisio A et al.
Human Mutation, 2014
mCSM: predicting the effects of mutations in proteins using graph-based signatures.
Pires DE et al.
Bioinformatics (oxford, England), 2014
Mutant p53 and the response to chemotherapy and radiation.
Tchelebi L et al.
Sub-cellular Biochemistry, 2014
QM-MM simulations on p53-DNA complex: a study of hot spot and rescue mutants.
Koulgi S et al.
Journal of Molecular Modeling, 2013
Structural studies of p53 inactivation by DNA-contact mutations and its rescue by suppressor mutations via alternative protein-DNA interactions.
Eldar A et al.
Nucleic Acids Research, 2013
Transactivation specificity is conserved among p53 family proteins and depends on a response element sequence code.
Ciribilli Y et al.
Nucleic Acids Research, 2013
Mapping the structural and dynamical features of multiple p53 DNA binding domains: insights into loop 1 intrinsic dynamics.
Lukman S et al.
Plos One, 2013
Analysis of p53 binding to DNA by fluorescence imaging microscopy.
Ong HJ et al.
Micron (oxford, England : 1993), 2012
All-codon scanning identifies p53 cancer rescue mutations.
Baronio R et al.
Nucleic Acids Research, 2010
The tumor suppressor p53: from structures to drug discovery.
Joerger AC et al.
Cold Spring Harbor Perspectives in Biology, 2010
Mutants of the tumour suppressor p53 L1 loop as second-site suppressors for restoring DNA binding to oncogenic p53 mutations: structural and biochemical insights.
Merabet A et al.
The Biochemical Journal, 2010
Structural and functional implications of p53 missense cancer mutations.
Tan Y et al.
Pmc Biophysics, 2009
Structural basis of restoring sequence-specific DNA binding and transactivation to mutant p53 by suppressor mutations.
Suad O et al.
Journal of Molecular Biology, 2009
Directed evolution of p53 variants with altered DNA-binding specificities by in vitro compartmentalization.
Fen CX et al.
Journal of Molecular Biology, 2007
Structure-function-rescue: the diverse nature of common p53 cancer mutants.
Joerger AC et al.
Oncogene, 2007
Mutational analysis of the p53 core domain L1 loop.
Zupnick A et al.
The Journal of Biological Chemistry, 2006
Structures of p53 cancer mutants and mechanism of rescue by second-site suppressor mutations.
Joerger AC et al.
The Journal of Biological Chemistry, 2005
p53 mutants exhibiting enhanced transcriptional activation and altered promoter selectivity are revealed using a sensitive, yeast-based functional assay.
Inga A et al.
Oncogene, 2001
Mechanism of rescue of common p53 cancer mutations by second-site suppressor mutations.
Nikolova PV et al.
The Embo Journal, 2000
Genetic selection of intragenic suppressor mutations that reverse the effect of common p53 cancer mutations.
Brachmann RK et al.
The Embo Journal, 1998
Variations in sensitivity to ionizing radiation in relation to p53 mutation point.
Okaichi K et al.
Anticancer Research, 0