ArticlemAbs
Differences in human IgG1 and IgG4 S228P monoclonal antibodies viscosity and self-interactions: Experimental assessment and computational predictions of domain interactions.
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Who cites it
22 citing papers in PubMed, 31 citations in OpenAlex.
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- Predicting Agitation Stability of Monoclonal Antibodies during Developability Assessment.Molecular pharmaceutics · 2026Article
- Fab-Fc and Fab-Fab interactions of variable strength and valency contribute to the high concentration viscosity of IgGProceedings of the National Academy of Sciences of the United States of America · 2026Article
- 3D-bioprinted microenvironments shape the growth and IgG1 monoclonal antibody production of CHO DG44 cells.Frontiers in bioengineering and biotechnology · 2026Article
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- Hybrid IgE-IgG1 antibodies (IgEG): a new antibody class that combines IgE and IgG functionality.mAbs · 2025Article
- PROPERMAB: an integrative framework formAbs · 2025Article
- Prediction of aggregation in monoclonal antibodies from molecular surface curvature.Scientific reports · 2025Article
- Antibody-drug conjugate: a newly developed biological missile for tumor treatment.Frontiers in oncology · 2025Review
- mAb production kinetics in CHO batch culture: exploring extracellular and intracellular dynamics.Frontiers in bioengineering and biotechnology · 2025Article
- An Underlying Cause and Solution to the Poor Size Exclusion Chromatography Performance of Antibody-Drug Conjugates.Pharmaceutical research · 2024Article
- Sequence-Based Viscosity Prediction for Rapid Antibody Engineering.Biomolecules · 2024Article
- Unraveling the Microscopic Mechanism of Molecular Ion Interaction with Monoclonal Antibodies: Impact on Protein Aggregation.Molecular pharmaceutics · 2024Article
- Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation.Scientific reports · 2023Article
- Understanding the Stabilizing Effect of Histidine on mAb Aggregation: A Molecular Dynamics Study.Molecular pharmaceutics · 2022Article
- DeepSCM: An efficient convolutional neural network surrogate model for the screening of therapeutic antibody viscosity.Computational and structural biotechnology journal · 2022Article
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Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human/humanized IgG4 antibodies have reduced effector function relative to IgG1 antibodies, which is desirable for certain therapeutic purposes. However, the developability and biophysical properties for IgG4 antibodies are not well understood. This work focuses on the head-to-head comparison of key biophysical properties, such as self-interaction and viscosity, for 14 human/humanized, and chimeric IgG1 and IgG4 S228P monoclonal antibody pairs that contain the identical variable regions. Experimental measurements showed that the IgG4 S228P antibodies have similar or higher self-interaction and viscosity than that of IgG1 antibodies in 20 mM sodium acetate, pH 5.5. We report sequence and structural drivers for the increased viscosity and self-interaction detected in IgG4 S228P antibodies through a combination of experimental data and computational models. Further, we applied and extended a previously established computational model for IgG1 antibodies to predict the self-interaction and viscosity behavior for each antibody pair, providing insight into the structural characteristics and differences of these two isotypes. Interestingly, we observed that the IgG4 S228P swapped variants, where the CH3 domain was swapped for that of an IgG1, showed reduced self-interaction behavior. These domain swapped IgG4 S228P molecules also showed reduced viscosity from experiment and coarse-grained simulations. We also observed that experimental diffusion interaction parameter (kD) values have a high correlation with computational diffusivity prediction for both IgG1 and IgG4 S228P isotypes.Abbreviations:
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