
The author proposes a deep neural network model, DstruCCN, combining Convolutional Neural Networks (CNN) and a supervised Transformer protein language model for single-sequence protein structure prediction. The approach leverages the advantages of deep learning-based methods for feature extraction and learning ability.


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Protein-Structure-Prediction-with-Transformer-and-CNN-Integration


Protein Structure Prediction with Transformer and CNN Integration
