Modelling the adsorption of proteins to nanoparticles at the solid-liquid interface

Soloviev, Mikhail, Siligardi, Giuliano, Roccatano, Danilo and Ferrari, Enrico (2022) Modelling the adsorption of proteins to nanoparticles at the solid-liquid interface. Journal of Colloid and Interface Science, 605 . pp. 286-295. ISSN 0021-9797

Full content URL: https://doi.org/10.1016/J.JCIS.2021.07.072

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Modelling the adsorption of proteins to nanoparticles at the solid-liquid interface
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Abstract

Hypothesis: We developed a geometrical model to determine the theoretical maximum number of proteins that can pack as a monolayer surrounding a spherical nanoparticle. We applied our new model to study the adsorption of receptor binding domain (RBD) of the SARS-CoV-2 spike protein to silica nanoparticles. Due to its abundance and extensive use in manufacturing, silica represents a reservoir where the virus can accumulate. It is therefore important to study the adsorption and the persistence of viral components on inanimate surfaces. Experiments: We used previously published datasets of nanoparticle-adsorbed proteins to validate the new model. We then used integrated experimental methods and Molecular Dynamics (MD) simulations to characterise binding of the RBD to silica nanoparticles and the effect of such binding on RBD structure. Findings: The new model showed excellent fit with existing datasets and, combined to new RBD-silica nanoparticles binding data, revealed a surface occupancy of 32% with respect to the maximum RBD packing theoretically achievable. Up to 25% of RBD’s secondary structures undergo conformational changes as a consequence of adsorption onto silica nanoparticles. Our findings will help developing a better understanding of the principles governing interaction of proteins with surfaces and can contribute to control the spread of SARS-CoV-2 through contaminated objects.

Keywords:Protein corona, Protein adsorption, Silica nanoparticles, SARS-CoV-2, Coronavirus, Sphere packing
Subjects:F Physical Sciences > F200 Materials Science
Divisions:College of Science > School of Life Sciences
ID Code:46281
Deposited On:03 Sep 2021 10:20

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