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Improved protein structure refinement guided by deep learning based accuracy estimation

We develop a deep learning framework (DeepAccNet) that estimates per-residue accuracy and residue-residue distance signed error in protein models and uses these predictions to guide Rosetta protein structure refinement. The network uses 3D convolutions to evaluate local atomic environments followed...

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Detalles Bibliográficos
Autores principales:	Hiranuma, Naozumi, Park, Hahnbeom, Baek, Minkyung, Anishchenko, Ivan, Dauparas, Justas, Baker, David
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/PMC7910447/ https://www.ncbi.nlm.nih.gov/pubmed/33637700 http://dx.doi.org/10.1038/s41467-021-21511-x

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