Associated Papers
Deciphering the acetylation code of p53 in transcription regulation and tumor suppression.
Xia Z et al.
Oncogene, 2022
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
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_3.xlsx › Sheet1
From uncertainty to pathogenicity: clinical and functional interrogation of a rare TP53 in-frame deletion.
Quinn EA et al.
Cold Spring Harbor Molecular Case Studies, 2019
30886117 (PubMed )
Supplement: supp_mcs.a003921_Supplemental_Table_1a.xlsx › S_Table1a._TP53_in_ClinVar
Potential conformational heterogeneity of p53 bound to S100B(ββ).
McDowell C et al.
Journal of Molecular Biology, 2013
Inhibition of p53 transcriptional activity by the S100B calcium-binding protein.
Lin J et al.
The Journal of Biological Chemistry, 2001
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