Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints

Prediction of protein structures on the scale of genomes remains a challenge. Here the authors introduce a protein structure prediction method that uses deep learning to predict inter-atomic distances, torsion angles and hydrogen bonds, and apply it to predict the structures of 1475 Pfam domains.

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Detalles Bibliográficos
Autores principales: Joe G. Greener, Shaun M. Kandathil, David T. Jones
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/ccdc53de641e49ecb1dcddc994cc5c94
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