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TUnA: An uncertainty aware transformer model for sequence-based protein-protein interaction prediction

By Y. Ko and others at
LogoUC San Diego
Protein-protein interactions (PPIs) are important for many biological processes, but predicting them from sequence data remains challenging. Existing deep learning models often cannot generalize to proteins not present in the training set, and do not provide uncertainty estimates for their predictions. To address these limitations, we present TUnA, a Transformer-based... Show more
July 25, 2024
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TUnA: An uncertainty aware transformer model for sequence-based protein-protein interaction prediction
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