LOGICA adds context to pretrained biological LMs via logit-space contrastive alignment with gated adapters, improving AUC on held-out drug-resistance mutation ranking from ~0.55 to ~0.65 while preserving token likelihoods.
Pan-peptide meta learning for T-cell receptor–antigen binding recognition.Nature Machine Intelligence, 2023
2 Pith papers cite this work. Polarity classification is still indexing.
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CaliPPer introduces a distance-based framework that quantifies generalizability, predicts performance metrics like AUROC with low error, and improves predictions on unseen binding data across multiple models and domains.
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CaliPPer: quantifying, predicting and improving AI model performance for binding prediction
CaliPPer introduces a distance-based framework that quantifies generalizability, predicts performance metrics like AUROC with low error, and improves predictions on unseen binding data across multiple models and domains.