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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.

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Please test the 3D viewer compatibility of your browser by clicking on the thumbnail. A three-dimensional structure should display mutations for the protein of the week. In case it does not load, please refer to the technical section of our help.