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Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction
RNAs are fundamental in living cells and perform critical functions determined by their tertiary architectures. However, accurate modeling of 3D RNA structure remains a challenging problem. We present a novel method, DRfold, to predict RNA tertiary structures by simultaneous learning of local frame...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505173/ https://www.ncbi.nlm.nih.gov/pubmed/37717036 http://dx.doi.org/10.1038/s41467-023-41303-9 |