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Abstract T cells have important functions in development and disease processes through T cell receptor (TCR)-dependent activities. Many tools were developed to predict the binding between TCRs and antigens. However, one of the uncertainties is whether such tools can decipher how small changes in the TCRs or antigenic peptides contribute to binding. We develop a deep learning model, pMTnet-omni, which not only predicts the binding vs.
1 Introduction Prostate cancer is the most common type of cancer among men and the second leading cause of cancer-related deaths in the United States [1]. In the Veterans Health Administration (VHA), prostate cancer accounts for 31.8% of all cancer diagnoses [2], and metastatic prostate cancer (mPCa) comprises 3%–7% of all VHA cancer patients [3].
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