The study examines how protein charge affects binding affinity and stability in biological systems, suggesting important implications for nanomaterial interactions.
When nanoparticles and nanoplastics enter biological fluids, their surfaces are rapidly coated with proteins, forming a corona that governs biological responses. However, understanding protein-surface interaction energetics remains a significant challenge. Here, we examine how protein charge distribution affects adsorption to polystyrene nanoparticles (PSNPs) by generating a series of lysine-to-alanine variants of the GB3 protein. This approach is unique because it explores how systematic perturbations in a controlled model protein influence protein-surface interactions. Using isothermal titration calorimetry (ITC), we found that the K19A variant binds most strongly to both nonfunctionalized and carboxylate-functionalized PSNPs. ITC thermograms indicate that K19A forms a stable monolayer, while other variants exhibit multilayer adsorption. The folded protein structure suggests that removing lysine at position 19 creates a flatter, more neutral interaction surface that promotes efficient initial binding. Fluorescence denaturation experiments show that PSNPs destabilize GB3 protein variants, and the binding free energy correlates strongly with protein unfolding (r = 0.82, p < 0.01 for carboxylate-functionalized PSNPs and r = 0.76, p < 0.03 for nonfunctionalized PSNPs). These results reveal how protein stability and charge distribution shape adsorption thermodynamics, informing frameworks for predicting protein-surface interactions.
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Kariyawasam et al. (2026) studied this question.
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