Electrostatically Mediated Protein-Protein Interactions for Monoclonal Antibodies: A Combined Experimental and Coarse-Grained Molecular Modeling Approach
Autor: | Glenn M. Ferreira, Christopher J. Roberts, Cesar Calero-Rubio, Hasige A. Sathish, Richard L. Remmele |
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Rok vydání: | 2019 |
Předmět: |
Models
Molecular Molecular model Static Electricity Pharmaceutical Science Thermodynamics Context (language use) 02 engineering and technology 030226 pharmacology & pharmacy Protein–protein interaction 03 medical and health sciences 0302 clinical medicine Ion binding Dynamic light scattering Molecule Protein Interaction Maps Solubility Viscosity Chemistry Osmolar Concentration Antibodies Monoclonal Proteins Hydrogen-Ion Concentration 021001 nanoscience & nanotechnology Dynamic Light Scattering Ionic strength 0210 nano-technology |
Zdroj: | Journal of Pharmaceutical Sciences. 108:120-132 |
ISSN: | 0022-3549 |
Popis: | Electrostatically mediated protein-protein interactions (PPI) can influence key product properties such as solubility, solution viscosity, and aggregation rates. Predictive models would allow for candidates/formulations to be screened with little or no protein material. Three monoclonal antibodies that display qualitatively different experimental PPI were evaluated at a range of pH and ionic strength conditions that are typical of product formulations. PPI parameters (kD, B22, and G22) were obtained from static and dynamic light scattering measurements and spanned from strongly repulsive to strongly attractive net interactions. Coarse-grained (CG) molecular simulations of PPI (specifically, B22) were compared against experimental PPI parameters across multiple pH and salt conditions, using a CG model that treats each amino acid explicitly. Predicted B22 values with default model parameters matched experimental B22 values semiquantitatively for some cases; others required parameter tuning to account for effects such as ion binding. Experimental PPI values were also analyzed for each monoclonal antibody within the context of single-protein properties such as net charge, and domain-based and global dipole moments. The results show that PPI predicted qualitatively and semiquantitatively by CG molecular modeling of B22 can be an effective computational tool for molecule and formulation assessment. |
Databáze: | OpenAIRE |
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