cuhkaih/rhofold

About

RhoFold+ is a deep learning model for accurately predicting RNA 3D structures from input sequences. It uses evolutionary information from MSA as well as embeddings from our pre-trained large RNA language model, RNA-FM. The work has been published in Nature Methods (full text available). This huggingface repository contains the pre-trained models to reproduce the results and apply RhoFold+ for new RNA sequences.

The full codes are available at GitHub:

• Official repository: https://github.com/ml4bio/RhoFold
• Official protocol: https://github.com/WangJiuming/rhofold_protocol

Citation

If you use the model in your research, please cite our paper with the following.

@article{shen2024accurate,
  title={Accurate RNA 3D structure prediction using a language model-based deep learning approach},
  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},
  journal={Nature Methods},
  pages={1--12},
  year={2024},
  publisher={Nature Publishing Group US New York}
}