Update README.md

README.md

@@ -4,26 +4,20 @@ license: apache-2.0
 
 ## 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 (<a href='https://www.nature.com/articles/s41592-024-02487-0'>full text available</a>).
-This huggingface repository contains the pre-trained models to reproduce the results and apply RhoFold+ for new RNA sequences.
+DEER (Dense Enzyme Retrieval) provides a method for finding functionally related human-bacteria isozymes using learned dense vector representations (embeddings). 
+This huggingface repository contains the pre-trained models to reproduce the results and apply DEER to discover isozymes.
 
-The full codes are available at GitHub: 
-- Official repository: https://github.com/ml4bio/RhoFold
-- Official protocol: https://github.com/WangJiuming/rhofold_protocol
+The full codes are available at GitHub: https://github.com/WangJiuming/deer/tree/main.
 
 ## 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}
+@misc{liu2025Exploring,
+  author={Liu, H. and Shen, J. and others},
+  title={Exploring Functional Insights into the Human Gut Microbiome via the Structural Proteome},
+  year={2025},
+  note={Manuscript under revision}
 }
 ```