Evidence-based tailoring of bioinformatics approaches to optimize methods that predict the effects of nonsynonymous amino acid substitutions in glucokinase

Computational methods that allow predicting the effects of nonsynonymous substitutions are an integral part of exome studies. Here, we validated and improved their specificity by performing a comprehensive bioinformatics analysis combined with experimental and clinical data on a model of glucokinase...

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Detalles Bibliográficos
Autores principales: Šimčíková, Daniela, Kocková, Lucie, Vackářová, Kateřina, Těšínský, Miroslav, Heneberg, Petr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573313/
https://www.ncbi.nlm.nih.gov/pubmed/28842611
http://dx.doi.org/10.1038/s41598-017-09810-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573313/
https://www.ncbi.nlm.nih.gov/pubmed/28842611
http://dx.doi.org/10.1038/s41598-017-09810-0

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