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Updated: Jan 23, 2026

The Importance of Correct Protein Concentration for Kinetics and Affinity Determination in Structure-function Analysis
Published on: March 17, 2010
Thermodynamic Analysis of Protein-Nanoparticle Interactions Links Binding Affinity and Structural Stability
Chathuri S Kariyawasam1, Radha P Somarathne1, Naomi C Hellard1
1Department of Chemistry, Mississippi State University, Mississippi State, 39762, United States.
Altering protein charge distribution significantly impacts nanoparticle binding. A specific mutation (K19A) enhanced protein adsorption to polystyrene nanoparticles (PSNPs) by creating a more stable, neutral surface.
Area of Science:
- Biomaterials Science
- Protein-Surface Interactions
- Nanotoxicology
Background:
- Nanoparticles and nanoplastics form protein coronas in biological fluids, influencing their interactions.
- Understanding the energetics of protein-surface binding is crucial but challenging.
Purpose of the Study:
- To investigate how protein charge distribution affects adsorption to polystyrene nanoparticles (PSNPs).
- To explore systematic perturbations in a model protein (GB3) to understand protein-surface interactions.
Main Methods:
- Generated lysine-to-alanine variants of the GB3 protein to alter charge distribution.
- Utilized isothermal titration calorimetry (ITC) to measure binding energetics.
- Performed fluorescence denaturation experiments to assess protein stability.
Main Results:
- The K19A protein variant exhibited the strongest binding to both functionalized and non-functionalized PSNPs.
- ITC data suggested K19A forms a stable monolayer, unlike other variants forming multilayers.
- Binding free energy strongly correlated with protein unfolding, indicating stability influences adsorption.
Conclusions:
- Protein charge distribution and stability are key determinants of adsorption thermodynamics to nanoparticles.
- Systematic modification of protein charge can control nanoparticle-protein interactions.
- Findings inform predictive models for protein-surface interactions in biological systems.
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