High-throughput characterization of colloidal properties of monoclonal antibodies
Authors
Geng, Steven
ORCID
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Other Contributors
Tessier, Peter M.
Cramer, Steven M.
Colón, Wilfredo
Karande, Pankaj
Cramer, Steven M.
Colón, Wilfredo
Karande, Pankaj
Issue Date
2016-08
Keywords
Chemical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
In this work, we have significantly improved the AC-SINS method and used it for differentiating between mAbs with different levels of self-association in serum as well as in other formulation solutions. We find that the AC-SINS measurements are well correlated with several conventional antibody biophysical properties (solubility, aggregation) and non-conventional biophysical properties (non-specific interactions with non-adsorptive chromatography columns). Moreover, we have identified sequence features of antibodies that are responsible for their variable biophysical properties, and find strong correlation between our self-interaction measurements and computational predictions based on the sequences of the antibody binding loops. These findings highlight the potential of using high-throughput biophysical methods for rapid identification and optimization of mAbs for high concentration therapeutic applications.
Description
August 2016
School of Engineering
School of Engineering
Department
Dept. of Chemical and Biological Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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