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This study presents a novel method for predicting real-valued distances between protein residues using a convolutional residual neural network (deep ResNet), which outperforms existing methods in contact prediction and 3D structure modeling. The authors demonstrate that their approach, which predicts both the mean and standard deviation of distances, achieves higher precision compared to traditional discrete-valued predictions. The findings suggest that real-valued distance prediction can significantly enha

Author

jose miguel

Language

EN