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.
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}
}
