Electrostatics and viscosity are strongly linked in concentrated antibody solutions
Fabrizio Camerin, Marco Polimeni, Anna Stradner, Emanuela Zaccarelli,, Peter Schurtenberger

TL;DR
This study investigates how electrostatic interactions influence the viscosity of concentrated antibody solutions, revealing that explicit modeling of charge heterogeneity and long-range Coulomb forces is crucial for accurate predictions.
Contribution
The paper demonstrates that explicit treatment of heterogeneous charges and long-range electrostatics is essential for accurately modeling antibody solution viscosity, advancing the understanding of their rheological behavior.
Findings
Implicit electrostatic models fail to match experimental viscosity data.
Explicit inclusion of counterions and salt ions improves model accuracy.
Transient correlated antibody structures significantly impact viscosity.
Abstract
Monoclonal antibodies are among the most promising therapeutic agents in modern medicine, yet their formulation into high-concentration solutions for subcutaneous self-administration poses a major challenge. A key obstacle is the marked increase in viscosity often observed under these conditions. To gain deeper insights into this phenomenon, coarse-grained models derived from soft matter physics have been widely employed. However, these models have yet to be fully leveraged for analyzing the rheological collective properties of such systems. In this study, using molecular dynamics simulations, we directly compute the antibody solution viscosity by starting from commonly used models in which electrostatic interactions are treated through effective screened Coulomb potentials. We demonstrate that this approach fails to reproduce experimental evidence and we show, by analyzing stress…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
