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

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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Bibliographic Details
Main Authors: Emily K. Makowski, Hongwei Chen, Matthew Lambert, Eric M. Bennett, Nicole S. Eschmann, Yulei Zhang, Jennifer M. Zupancic, Alec A. Desai, Matthew D. Smith, Wenjia Lou, Amendra Fernando, Timothy Tully, Christopher J. Gallo, Laura Lin, Peter M. Tessier
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:mAbs
Subjects:
mAb
antibody
self-interaction
affinity
directed evolution
complementarity-determining regions
Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2022.2146629

Internet

https://www.tandfonline.com/doi/10.1080/19420862.2022.2146629

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