Functional consequences of cancer mutations
Description: In synergy with large scale cancer genomics projects we plan to elucidate the role of thousands of protein mutations observed in many human tumor samples. The Online Mutation Assessor (OMA), a computational resource, will combine detailed knowledge about the evolution and structure of proteins and their interactions in biomolecular pathways and provide researchers with an estimate of the functional impact of protein mutations observed in individual patients. When translated to clinical practice, detailed knowledge about an individual's mutation profile will enable a more personalized approach to cancer therapy.
Funder: National Cancer Institute
Funding type: research
Funder scheme: R01
Start date: 2009-04-01
End date: 2014-01-31
Investigator: CHRIS SANDER
Institution: SLOAN-KETTERING INST CAN RESEARCH
Funded outputs count: 5
Funder award ID: R01CA132744
OpenAlex ID: G1567310941