Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics
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DOI: 10.1080/19420862.2022.2026208
Abstract: ABSTRACT Machine learning has been recently used to predict therapeutic antibody aggregation rates and viscosity at high concentrations (150 mg/ml). These works focused on commercially available antibodies, which may have been optimized for stability. In… read more here.
Keywords: aggregation; machine learning; model; antibody aggregation ... See more keywords
Estimating Extrinsic Dyes for Fluorometric Online Monitoring of Antibody Aggregation in CHO Fed-Batch Cultivations
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DOI: 10.3390/bioengineering4030065
Abstract: Multi-wavelength fluorescence spectroscopy was evaluated in this work as tool for real-time monitoring of antibody aggregation in CHO fed-batch cultivations via partial least square (PLS) modeling. Therefore, we used the extrinsic fluorescence dyes 1-anilinonaphthalene-8-sulfonate (ANS),… read more here.
Keywords: antibody aggregation; aggregation cho; monitoring antibody; fluorescence ... See more keywords