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DESTINI: A deep-learning approach to contact-driven protein structure prediction
The amino acid sequence of a protein encodes the blueprint of its native structure. To predict the corresponding structural fold from the protein’s sequence is one of most challenging problems in computational biology. In this work, we introduce DESTINI (deep structural inference for proteins), a no...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401133/ https://www.ncbi.nlm.nih.gov/pubmed/30837676 http://dx.doi.org/10.1038/s41598-019-40314-1 |