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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+
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+ ## About
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+
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+ RhoFold+ is a deep learning model for accurately predicting RNA 3D structures from input sequences.
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+ It uses evolutionary information from MSA as well as embeddings from our pre-trained large RNA language model, RNA-FM.
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+ The work has been published in Nature Methods (<a href='https://www.nature.com/articles/s41592-024-02487-0'>full text available</a>).
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+ This huggingface repository contains the pre-trained models to reproduce the results and apply RhoFold+ for new RNA sequences.
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+
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+ The full codes are available at GitHub:
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+ - Official repository: https://github.com/ml4bio/RhoFold
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+ - Official protocol: https://github.com/WangJiuming/rhofold_protocol
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+
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+ ## Citation
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+
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+ If you use the model in your research, please cite our paper with the following.
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+
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+ ```
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+ @article{shen2024accurate,
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+ title={Accurate RNA 3D structure prediction using a language model-based deep learning approach},
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+ author={Shen, Tao and Hu, Zhihang and Sun, Siqi and Liu, Di and Wong, Felix and Wang, Jiuming and Chen, Jiayang and Wang, Yixuan and Hong, Liang and Xiao, Jin and others},
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+ journal={Nature Methods},
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+ pages={1--12},
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+ year={2024},
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+ publisher={Nature Publishing Group US New York}
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+ }
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+ ```
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+