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An explainable language model for antibody specificity prediction using curated influenza hemagglutinin antibodies
Despite decades of antibody research, it remains challenging to predict the specificity of an antibody solely based on its sequence. Two major obstacles are the lack of appropriate models and inaccessibility of datasets for model training. In this study, we curated a dataset of >5,000 influenza h...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515799/ https://www.ncbi.nlm.nih.gov/pubmed/37745338 http://dx.doi.org/10.1101/2023.09.11.557288 |