The code for the paper submitted to Nature Communications will be open-sourced upon acceptance.

Code: (https://github.com/sherlockma11/ControlUTR)
Dataset：(https://huggingface.co/datasets/SherlockMa/ControlUTR_training_data)
Model：(https://huggingface.co/SherlockMa/ControlUTR)

For demo file inference_one_sample.py, we recommended:

• torch==2.4.0
• torchvision==0.19.0
• tqdm==4.66.5
• transformers==4.45.2
• pandas==2.2.3
• ViennaRNA==2.7.0

Also, you should download Splice-MS510 for MRL prediction. In our code, We use BEACON(https://github.com/terry-r123/RNABenchmark)