AbICL adapts antibody affinity ranking at test time by conditioning on labeled pairwise comparisons through a transformer context head trained with episodic meta-learning, achieving improved AUROC on the AbRank benchmark.
Investigating the volume and diversity of data needed for generalizable antibody– antigenδδg prediction.Nature Computational Science, 5(8):635–647, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking
AbICL adapts antibody affinity ranking at test time by conditioning on labeled pairwise comparisons through a transformer context head trained with episodic meta-learning, achieving improved AUROC on the AbRank benchmark.