Disruptor: Computational identification of oncogenic mutants disrupting protein-protein and protein-DNA interactions

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作者
Valentina Kugler
Andreas Lieb
Nathan Guerin
Bruce R. Donald
Eduard Stefan
Teresa Kaserer
机构
[1] University of Innsbruck,Institute of Biochemistry and Center for Molecular Biosciences
[2] Medical University of Innsbruck,Institute of Pharmacology
[3] Duke University,Department of Computer Science
[4] Duke University Medical Center,Department of Biochemistry
[5] Duke University,Department of Chemistry
[6] Duke University,Department of Mathematics
[7] Tyrolean Cancer Research Institute (TKFI),Institute of Molecular Biology
[8] University of Innsbruck,Institute of Pharmacy/Pharmaceutical Chemistry
[9] University of Innsbruck,undefined
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We report an Osprey-based computational protocol to prospectively identify oncogenic mutations that act via disruption of molecular interactions. It is applicable to analyse both protein-protein and protein-DNA interfaces and it is validated on a dataset of clinically relevant mutations. In addition, it is used to predict previously uncharacterised patient mutations in CDK6 and p16 genes, which are experimentally confirmed to impair complex formation.
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