mGPfusion: predicting protein stability changes with Gaussian process kernel learning and data fusion

MOTIVATION: Proteins are commonly used by biochemical industry for numerous processes. Refining these proteins’ properties via mutations causes stability effects as well. Accurate computational method to predict how mutations affect protein stability is necessary to facilitate efficient protein desi...

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Detalles Bibliográficos
Autores principales: Jokinen, Emmi, Heinonen, Markus, Lähdesmäki, Harri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022679/
https://www.ncbi.nlm.nih.gov/pubmed/29949987
http://dx.doi.org/10.1093/bioinformatics/bty238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022679/
https://www.ncbi.nlm.nih.gov/pubmed/29949987
http://dx.doi.org/10.1093/bioinformatics/bty238

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