Cargando…
trRosettaRNA: automated prediction of RNA 3D structure with transformer network
RNA 3D structure prediction is a long-standing challenge. Inspired by the recent breakthrough in protein structure prediction, we developed trRosettaRNA, an automated deep learning-based approach to RNA 3D structure prediction. The trRosettaRNA pipeline comprises two major steps: 1D and 2D geometrie...
Autores principales: | Wang, Wenkai, Feng, Chenjie, Han, Renmin, Wang, Ziyi, Ye, Lisha, Du, Zongyang, Wei, Hong, Zhang, Fa, Peng, Zhenling, Yang, Jianyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636060/ https://www.ncbi.nlm.nih.gov/pubmed/37945552 http://dx.doi.org/10.1038/s41467-023-42528-4 |
Ejemplares similares
-
RNA inter-nucleotide 3D closeness prediction by deep residual neural networks
por: Sun, Saisai, et al.
Publicado: (2020) -
Improved Protein Structure Prediction Using a New Multi‐Scale Network and Homologous Templates
por: Su, Hong, et al.
Publicado: (2021) -
Robustification of RosettaAntibody and Rosetta SnugDock
por: Jeliazkov, Jeliazko R., et al.
Publicado: (2021) -
AlloMAPS 2: allosteric fingerprints of the AlphaFold and Pfam-trRosetta predicted structures for engineering and design
por: Tan, Zhen Wah, et al.
Publicado: (2022) -
Protocols for Molecular Modeling with Rosetta3 and
RosettaScripts
por: Bender, Brian J., et al.
Publicado: (2016)