Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries

Therapeutic antibodies are an important and rapidly growing drug modality. However, the design and discovery of early-stage antibody therapeutics remain a time and cost-intensive endeavor. Here we present an end-to-end Bayesian, language model-based method for designing large and diverse libraries o...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Lin, Gupta, Esther, Spaeth, John, Shing, Leslie, Jaimes, Rafael, Engelhart, Emily, Lopez, Randolph, Caceres, Rajmonda S., Bepler, Tristan, Walsh, Matthew E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258481/
https://www.ncbi.nlm.nih.gov/pubmed/37308471
http://dx.doi.org/10.1038/s41467-023-39022-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258481/
https://www.ncbi.nlm.nih.gov/pubmed/37308471
http://dx.doi.org/10.1038/s41467-023-39022-2

Ejemplares similares