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
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1
Clinical significance of genetic profiling based on different anatomic sites in patients with mucosal melanoma who received or did not receive immune checkpoint inhibitors.
Wang HY et al.
Cancer Cell International, 2023
37649078 (PubMed )
Supplement: 12935_2023_3032_MOESM2_ESM.pdf
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
35043155 (PubMed )
Supplement: supplementary_table_s1_bbab524.xlsx › S1B._Negative_Set
Plasma Circulating Tumor DNA Sequencing Predicts Minimal Residual Disease in Resectable Esophageal Squamous Cell Carcinoma.
Liu T et al.
Frontiers in Oncology, 2021
34094900 (PubMed )
Supplement: DataSheet_1.xlsx › Table_S6
Use of cervical mucus to screen for gynecological malignancies: a pilot study.
Lamzabi I et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc, 2013
The oncogenic roles of p53 mutants in mouse models.
Lozano G
Current Opinion in Genetics & Development, 2007
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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