Robust classification of protein variation using structural modelling and large-scale data integration

Volume: 44, Issue: 6, Pages: 2501 - 2513
Published: Feb 28, 2016
Abstract
Existing methods for interpreting protein variation focus on annotating mutation pathogenicity rather than detailed interpretation of variant deleteriousness and frequently use only sequence-based or structure-based information. We present VIPUR, a computational framework that seamlessly integrates sequence analysis and structural modelling (using the Rosetta protein modelling suite) to identify and interpret deleterious protein variants. To...
Paper Details
Title
Robust classification of protein variation using structural modelling and large-scale data integration
Published Date
Feb 28, 2016
Volume
44
Issue
6
Pages
2501 - 2513
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