Associated Papers
Analysis of E2F1 single-nucleotide polymorphisms reveals deleterious non-synonymous substitutions that disrupt E2F1-RB protein interaction in cancer.
Suleman M et al.
International Journal of Biological Macromolecules, 2024
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
Development of the CK-MB-1 trastuzumab-resistant HER2-positive breast cancer cell line and xenograft animal models.
Chung WP et al.
Cancer Medicine, 2021
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