CAME-AB fuses five protein sequence, structural, and chemical encodings with adaptive fusion, mixture-of-experts, and contrastive learning to improve antibody epitope class prediction.
Study of basic local alignment search tool (blast) and multiple sequence alignment (clustal-x) of monoclonal mice/human antibodies.BioRxiv, pages 2021–07, 2021
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
contest 1representative citing papers
citing papers explorer
-
CAME-AB: Cross-Modality Attention with Mixture-of-Experts for Antibody Binding Site Prediction
CAME-AB fuses five protein sequence, structural, and chemical encodings with adaptive fusion, mixture-of-experts, and contrastive learning to improve antibody epitope class prediction.