Artificial intelligence for antibody reading comprehension: AntiBERTa

Utilizing publicly available antibody big data resources, Leem et al. (2022) developed an antibody-specific language model, AntiBERTa, to understand the “language” of antibodies. Case studies reveal that AntiBERTa can be an extremely useful tool for antibody engineering.

Detalles Bibliográficos
Autor principal: Choi, Yoonjoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278504/
https://www.ncbi.nlm.nih.gov/pubmed/35845838
http://dx.doi.org/10.1016/j.patter.2022.100535
Descripción
Sumario:Utilizing publicly available antibody big data resources, Leem et al. (2022) developed an antibody-specific language model, AntiBERTa, to understand the “language” of antibodies. Case studies reveal that AntiBERTa can be an extremely useful tool for antibody engineering.

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