Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Discovery and characterization of high-affinity, potent SARS-CoV-2 neutralizing antibodies via single B cell screening
por: Schardt, John S., et al.
Publicado: (2021) -
Rational affinity maturation of anti-amyloid antibodies with high conformational and sequence specificity
por: Desai, Alec A., et al.
Publicado: (2021) -
Facile isolation of high-affinity nanobodies from synthetic libraries using CDR-swapping mutagenesis
por: Zupancic, Jennifer M., et al.
Publicado: (2022) -
Mutational analysis of SARS-CoV-2 variants of concern reveals key tradeoffs between receptor affinity and antibody escape
por: Makowski, Emily K., et al.
Publicado: (2022) -
Reduction of therapeutic antibody self-association using yeast-display selections and machine learning
por: Makowski, Emily K., et al.
Publicado: (2022)