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...

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Detalles Bibliográficos
Autores principales: Wang, Yiquan, Lv, Huibin, Lei, Ruipeng, Yeung, Yuen-Hei, Shen, Ivana R., Choi, Danbi, Teo, Qi Wen, Tan, Timothy J.C., Gopal, Akshita B., Chen, Xin, Graham, Claire S., Wu, Nicholas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
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

Internet

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

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