ImmuneBuilder is an Antibody structure prediction method consisting of ABodyBuilder2 for antibodies, NanoBodyBuilder2 for nanobodies, and TCRBuilder2 for TCRs (1).
Details
- ABodyBuilder2 is trained on Observable Antibody Space and outperforms AlphaFold2 on antibody CDRH3 loops. However EquiFold outperforms it on side chain recovery. Provides uncertainty estimation that correlates for CDRH3 RMSD.
- Data elision studies on ABodyBuilder2 showed that DL structure prediction methods cannot predict CDR conformations unseen during training.
- Models generated with ABodyBuilder2 have larger hydrophobic patches.
See also
1.
Abanades B, Wong WK, Boyles F, Georges G, Bujotzek A, Deane CM. ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. Communications Biology. 2023;6(1). Available from: https://doi.org/10.1038/s42003-023-04927-7