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

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...

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Detalles Bibliográficos
Autores principales: Baugh, Evan H., Simmons-Edler, Riley, Müller, Christian L., Alford, Rebecca F., Volfovsky, Natalia, Lash, Alex E., Bonneau, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824117/
https://www.ncbi.nlm.nih.gov/pubmed/26926108
http://dx.doi.org/10.1093/nar/gkw120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824117/
https://www.ncbi.nlm.nih.gov/pubmed/26926108
http://dx.doi.org/10.1093/nar/gkw120

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