Structure-based protein function prediction using graph convolutional networks

The rapid increase in the number of proteins in sequence databases and the diversity of their functions challenge computational approaches for automated function prediction. Here, we introduce DeepFRI, a Graph Convolutional Network for predicting protein functions by leveraging sequence features ext...

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Detalles Bibliográficos
Autores principales: Gligorijević, Vladimir, Renfrew, P. Douglas, Kosciolek, Tomasz, Leman, Julia Koehler, Berenberg, Daniel, Vatanen, Tommi, Chandler, Chris, Taylor, Bryn C., Fisk, Ian M., Vlamakis, Hera, Xavier, Ramnik J., Knight, Rob, Cho, Kyunghyun, Bonneau, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155034/
https://www.ncbi.nlm.nih.gov/pubmed/34039967
http://dx.doi.org/10.1038/s41467-021-23303-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155034/
https://www.ncbi.nlm.nih.gov/pubmed/34039967
http://dx.doi.org/10.1038/s41467-021-23303-9

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