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Published on: January 16, 2016
A scaling relationship between thermodynamic and hydrodynamic interactions in protein solutions
Jonathan S Kingsbury1, Charles G Starr1, Yatin R Gokarn1
1Global CMC Development, Sanofi, Framingham, Massachusetts.
Understanding weak protein interactions is key for biological functions and biotherapeutics. This study reveals how molecular properties influence protein self-association, providing a new scaling relationship for predicting these behaviors.
Area of Science:
- Biochemistry
- Biophysics
- Protein Science
Background:
- Weak protein interactions are crucial for biological processes and biotherapeutic development.
- Understanding the molecular basis of protein self-interaction, including thermodynamic and hydrodynamic contributions, remains incomplete.
- These interactions influence protein manufacturing, stability, and therapeutic efficacy.
Purpose of the Study:
- To systematically investigate the influence of molecular attributes on protein self-interaction.
- To analyze the thermodynamic and hydrodynamic contributions to protein interaction mechanisms.
- To develop a predictive model for protein self-association and repulsion.
Main Methods:
- Evaluation of self-interaction in a diverse set of proteins exhibiting varied interaction behaviors (attractive to repulsive).
- Analysis of concentration-dependent molecular weight, diffusion coefficient, and sedimentation coefficient.
- Interconversion of interaction parameters and assessment of thermodynamic vs. hydrodynamic contributions.
Main Results:
- Demonstrated good agreement between experimental data and a hard-sphere model for weak self-association.
- Established convenient interconversions among different interaction parameters.
- Identified relationships between thermodynamic and hydrodynamic aspects of protein interactions.
Conclusions:
- Proposed an empirically derived, general scaling relationship for protein self-association and repulsion.
- Provided insights into the fundamental principles governing protein interactions.
- Offered a framework for predicting and controlling protein behavior in biological and manufacturing contexts.
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