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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.

Updating Cancer3D

We currently developing an updated version of cancer3D. Click here to see the current Beta version.

Cancer3D News

Features coming soon


We are currently adding these features to Cancer3D

  • From our recent paper we are adding data that reveals new insights on mutations in interaction interfaces.
  • Updating our TCGA sources into for larger analysis
  • Learn how to use current Cancer3D by clicking on the link below

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