Prediction of antibody-antigen interaction based on backbone aware with invariant point attention
Quantitative experimental results demonstrate that the new neural network architecture significantly outperforms the best sequence-based methods as well as the methods based on residue contact maps and graph convolution networks (GCNs). The source code is freely available on GitHub at https://github.com/gmthu66/AbAgIPA .
Authors
- Weiyang Yang (ORCID: https://orcid.org/0000-0003-2502-3359)
- Miao Gu
- Min Liu (ORCID: https://orcid.org/0000-0002-9007-4817)
Institutions
- Tsinghua University (CN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1186/s12859-024-05961-w
- Citations
- 7
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 2.83
Funders
- National Natural Science Foundation of China