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...

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Detalles Bibliográficos
Autores principales: Li, Yang, Zhang, Chengxin, Feng, Chenjie, Pearce, Robin, Lydia Freddolino, P., Zhang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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