Summary
CDR embeddings generated by Protein language models segregate into conformational clusters when mapped using t-SNE. This is NOT true for CDRH3, which instead clusters by loop length. This was observed from AntiBERTy embeddings.
Figures
Ref (1)
See also
- Template CDR retrieval using embeddings
- PLMs cluster antibodies from the same repertoire by V gene and maturation status
1.
Ruffolo JA, Chu L-S, Mahajan SP, Gray JJ. Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies. Nature Communications. 2023;14(1). Available from: https://doi.org/10.1038/s41467-023-38063-x