Reduction of therapeutic antibody self-association using yeast-display selections and machine learning

Self-association governs the viscosity and solubility of therapeutic antibodies in high-concentration formulations used for subcutaneous delivery, yet it is difficult to reliably identify candidates with low self-association during antibody discovery and early-stage optimization. Here, we report a h...

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Detalles Bibliográficos
Autores principales: Makowski, Emily K., Chen, Hongwei, Lambert, Matthew, Bennett, Eric M., Eschmann, Nicole S., Zhang, Yulei, Zupancic, Jennifer M., Desai, Alec A., Smith, Matthew D., Lou, Wenjia, Fernando, Amendra, Tully, Timothy, Gallo, Christopher J., Lin, Laura, Tessier, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704398/
https://www.ncbi.nlm.nih.gov/pubmed/36433737
http://dx.doi.org/10.1080/19420862.2022.2146629

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704398/
https://www.ncbi.nlm.nih.gov/pubmed/36433737
http://dx.doi.org/10.1080/19420862.2022.2146629

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