Reasoning and Knowledge Discovery (RISE) Lab
Reasoning and Knowledge Discovery (RISE) Lab
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Wayland Yeung*
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Phosformer: An explainable Transformer model for protein kinase-specific phosphorylation predictions
Tree Visualizations of Protein Sequence Embedding Space Enable Improved Functional Clustering of Diverse Protein Superfamilies
Alignment-Free Estimation of Sequence Conservation for Identifying Functional Sites Using Protein Sequence Embeddings
Mapping the glycosyltransferase fold landscape using interpretable deep learning
Quantitative Structure–Mutation–Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction
Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases
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