Seq2Pocket is a framework for transforming residue-level protein language model predictions into 3D binding pockets via embedding-supported smoothing and surface-based clustering.
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Updated
Apr 22, 2026 - Jupyter Notebook
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binding-sites-prediction
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graph-convolutional-network graph-attention-network protein-language-model esm-1b esm-2 kolmogorov-arnold-networks esm-3 binding-sites-prediction
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Updated
Apr 19, 2026 - Jupyter Notebook
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