Associated Papers
Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.
Funk JS et al.
Nature Genetics, 2025
39774325 (PubMed )
Supplement: 41588_2024_2039_MOESM5_ESM.xlsx › SuppFig6
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
Association of MicroRNA-21 with p53 at Mutant Sites R175H and R248Q, Clinicopathological Features, and Prognosis of NSCLC.
Zhou Y et al.
Molecular Therapy Oncolytics, 2020
Phase and context shape the function of composite oncogenic mutations.
Gorelick AN et al.
Nature, 2020
32461694 (PubMed )
Supplement: NIHMS1582596-supplement-1582596_Supp_Tab1-5.xlsx › Table_S2._Composite_mutations
Thermodynamic and Evolutionary Coupling between the Native and Amyloid State of Globular Proteins.
Langenberg T et al.
Cell Reports, 2020
Deep targeted sequencing of TP53 in chronic lymphocytic leukemia: clinical impact at diagnosis and at time of treatment.
Brieghel C et al.
Haematologica, 2019
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark
Gain of function of mutant p53 by coaggregation with multiple tumor suppressors.
Xu J et al.
Nature Chemical Biology, 2011
Isolation of temperature-sensitive p53 mutations from a comprehensive missense mutation library.
Shiraishi K et al.
The Journal of Biological Chemistry, 2004
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