Abstract
Biological macromolecules including nucleic acids, proteins, and glycosaminoglycans are typically anionic and can span domains of up to hundreds of nanometers and even micron length scales. The structures exist in crowded environments that are dominated by multivalent electrostatic interactions that can be modeled using mean-field continuum approaches that represent underlying molecular nanoscale biophysics. We develop such models for glycosaminoglycan brushes using steady state modified Poisson-Boltzmann models that incorporate important ion-specific (Hofmeister) effects. The results quantify how electroneutrality is attained through ion electrophoresis, spatially varying permittivity hydration forces, and ion-specific pairing. Brush-salt interfacial profiles of the electrostatic potential as well as bound and unbound ions are characterized for imposed jump conditions across the interface. The models should be applicable to many intrinsically disordered biophysical environments and are anticipated to provide insight into the design and development of therapeutics and drug-delivery vehicles to improve human health.
Recommended Citation
Ceely, W. J., Chugunova, M., Nadim, A., & Sterling, J. D. (2023). Mathematical Modeling Of Microscale Biology: Ion Pairing, Spatially Varying Permittivity, And Born Energy In Glycosaminoglycan Brushes. Physical Review E, 107(2) American Physical Society.
The definitive version is available at https://doi.org/10.1103/PhysRevE.107.024416
Department(s)
Business and Information Technology
Second Department
Chemical and Biochemical Engineering
International Standard Serial Number (ISSN)
2470-0053; 2470-0045
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 American Physical Society, All rights reserved.
Publication Date
01 Feb 2023
PubMed ID
36932500
Included in
Biochemical and Biomolecular Engineering Commons, Health Information Technology Commons, Technology and Innovation Commons

Comments
Claremont Graduate University, Grant None