Associated Papers
TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.
Fischer NW et al.
Nature Communications, 2025
41022739 (PubMed )
Supplement: 41467_2025_63528_MOESM7_ESM.xlsx › Sheet1
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
appreci8: a pipeline for precise variant calling integrating 8 tools.
Sandmann S et al.
Bioinformatics (oxford, England), 2018
29945233 (PubMed )
Supplement: bty518_supplementary_data_s4.xlsx › TN_Mutations_Filter_2
Lysines in the tetramerization domain of p53 selectively modulate G1 arrest.
Beckerman R et al.
Cell Cycle (georgetown, Tex.), 2016
Understanding wild-type and mutant p53 activities in human cancer: new landmarks on the way to targeted therapies.
Goldstein I et al.
Cancer Gene Therapy, 2011
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