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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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Библиографические подробности
Опубликовано в: :	Nat Commun
Главные авторы:	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
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Publishing Group UK 2021
Предметы:	Article
Online-ссылка:	https://ncbi.nlm.nih.gov/pmc/articles/PMC8155034/ https://ncbi.nlm.nih.gov/pubmed/34039967 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-23303-9
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Structure-based protein function prediction using graph convolutional networks

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