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Improved protein structure prediction by deep learning irrespective of co-evolution information
Predicting the tertiary structure of a protein from its primary sequence has been greatly improved by integrating deep learning and co-evolutionary analysis, as shown in CASP13 and CASP14. We describe our latest study of this idea, analyzing the efficacy of network size and co-evolution data and its...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340610/ https://www.ncbi.nlm.nih.gov/pubmed/34368623 http://dx.doi.org/10.1038/s42256-021-00348-5 |