Current progress and open challenges for applying deep learning across the biosciences

Deep Learning (DL) has recently enabled unprecedented advances in one of the grand challenges in computational biology: the half-century-old problem of protein structure prediction. In this paper we discuss recent advances, limitations, and future perspectives of DL on five broad areas: protein stru...

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Detalles Bibliográficos
Autores principales: Sapoval, Nicolae, Aghazadeh, Amirali, Nute, Michael G., Antunes, Dinler A., Balaji, Advait, Baraniuk, Richard, Barberan, C. J., Dannenfelser, Ruth, Dun, Chen, Edrisi, Mohammadamin, Elworth, R. A. Leo, Kille, Bryce, Kyrillidis, Anastasios, Nakhleh, Luay, Wolfe, Cameron R., Yan, Zhi, Yao, Vicky, Treangen, Todd J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976012/
https://www.ncbi.nlm.nih.gov/pubmed/35365602
http://dx.doi.org/10.1038/s41467-022-29268-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976012/
https://www.ncbi.nlm.nih.gov/pubmed/35365602
http://dx.doi.org/10.1038/s41467-022-29268-7

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