Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

Therapeutic antibody development requires selection and engineering of molecules with high affinity and other drug-like biophysical properties. Co-optimization of multiple antibody properties remains a difficult and time-consuming process that impedes drug development. Here we evaluate the use of ma...

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Detalles Bibliográficos
Autores principales: Makowski, Emily K., Kinnunen, Patrick C., Huang, Jie, Wu, Lina, Smith, Matthew D., Wang, Tiexin, Desai, Alec A., Streu, Craig N., Zhang, Yulei, Zupancic, Jennifer M., Schardt, John S., Linderman, Jennifer J., Tessier, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249733/
https://www.ncbi.nlm.nih.gov/pubmed/35778381
http://dx.doi.org/10.1038/s41467-022-31457-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249733/
https://www.ncbi.nlm.nih.gov/pubmed/35778381
http://dx.doi.org/10.1038/s41467-022-31457-3

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