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Cancer3D is a database that unites information on somatic missense mutations from TCGA and CCLE, allowing users to explore two different cancer-related problems at the same time: drug sensitivity/biomarker identification and prediction of cancer drivers. The database is an interface to two novel algorithms, e-Driver and e-Drug, that make use of information about the internal structure of a protein to predict novel cancer drivers or drug biomarkers respectively. Moreover, it maps somatic missense mutations from over 18,000 human proteins to more than 25,000 protein structures from PDB.
Acts as a tumor suppressor in many tumor types; induces growth arrest or apoptosis depending on the physiological circumstances and cell type. Involved in cell cycle regulation as a trans-activator that acts to negatively regulate cell division by controlling a set of genes required for this process.
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