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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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