bioRxivCancer BiologyPreprint
DISRUPTOR: Computational identification of oncogenic mutants disrupting protein interactions
V. Kugler, A. Lieb, N. Guerin, B. R. Donald, E. Stefan, T. Kaserer
Abstract
We report an Osprey-based computational protocol to prospectively identify oncogenic mutations that act via disruption of molecular interactions. It is applicable to analyze both protein-protein and protein-DNA interfaces and has been validated on a dataset of clinically relevant mutations. In addition, it was used to predict previously uncharacterized patient mutations in CDK6 and p16 genes, which were experimentally confirmed to impair complex formation.
- organism: human
- assay: proteomics
- research focus: drug response / drug discovery
- research focus: cell signaling & trafficking
- research focus: cancer & tumor microenvironment
- approach: experimental assay
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