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The influence of CDR3β and peptide structural information in training data on predictions by epiTCR-KDA. (A) Nine CDR3β and (B) nine peptides were chosen to represent nine clusters within the testing sets, and the predicted labels of their represented clusters were compared with the labels in training bins at different levels of dihedral angle-based cosine similarity using RMSE. The lower the RMSE, the more similar between prediction labels and training labels.
