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ESM2 embeddings, by contrast, preserve contextual and positional information learned from large-scale protein corpora ( Although the full 2121-dimensional fused representation already achieved reasonable ranking performance (AUROC 0.946), selecting the top 700 features by mutual information raised MCC from 0.743 to 0.8127

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