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Modeling the Bionano Interactions of Polypropylene Nanoparticles
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Researchers used a combination of all-atom and coarse-grained molecular dynamics simulations to model how proteins adsorb onto polypropylene nanoparticle surfaces, revealing specific binding motifs and conformational changes that govern the biological corona formation critical to toxicological risk assessment.
The environmental degradation of industrial and consumer plastics leads to the widespread presence of plastic micro- and nanoparticles in marine and terrestrial environments. Yet, their impacts on environmental safety and human health remain poorly understood. A key step in assessing these impacts is elucidating the bionano interactions that govern particle behavior in biological media. Here, we combine all-atom molecular dynamics with coarse-grained simulations to investigate protein adsorption and corona formation on polypropylene nanoparticles. The coarse-grain potentials are systematically derived from atomistic simulations of individual amino acids interacting with polypropylene fragments and surfaces. Using these potentials, we evaluated protein binding affinities on various polypropylene surfaces. Corona formation and composition are investigated using a kinetic Monte Carlo approach that mimics the competitive adsorption and desorption dynamics of proteins from a model solution. We show that the final corona composition reflects the relative binding energies and the number of favorable binding orientations of the competing proteins. Understanding the driving forces of adsorption and corona formation may help design safer polymeric materials and inform environmental risk assessment.
More Papers Like This
Modeling the Bionano Interactions of Polypropylene Nanoparticles
AI summary Read the abstract
Researchers used all-atom and coarse-grained molecular dynamics simulations to map how proteins adsorb onto polypropylene nanoparticle surfaces and form protein coronas, finding that final corona composition reflects the relative binding energies and favorable orientations of competing proteins rather than their bulk concentrations.
Modeling the bio–nano interactions of polypropylene nanoparticles
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Researchers modeled protein-polypropylene nanoparticle interactions using multiscale molecular dynamics simulations, characterizing how particle surface chemistry and size drive selective protein binding and structural distortion — interactions that ultimately shape nanoparticle fate and toxicity in biological systems.
Peptide Corona Formation on Polyethylene Surfaces: A Combined Computational and Experimental Study
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Researchers used a combination of molecular dynamics simulations and experiments to study how peptides from food and biological systems form coronas on polyethylene microplastic surfaces. They found that peptide adsorption is governed by amino acid hydrophobicity and surface potential, altering both the plastic particle behavior and the bound peptides' biological activity.
Peptide CoronaFormation on Polyethylene Surfaces:A Combined Computational and Experimental Study
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Researchers used molecular modeling and experiments to investigate how peptides form eco-corona layers on polyethylene microplastic surfaces, finding that peptide adsorption is governed by amino acid hydrophobicity and surface chemistry. The study provides molecular-level insight into how plastics integrate into biological environments by binding proteins and peptides.
Molecular modeling of the carbohydrate corona formation on a polyvinyl chloride nanoparticle and its impact on the adhesion to lipid bilayers
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Using molecular dynamics simulations, researchers modeled how chitosan — a carbohydrate found in biological environments — coats polyvinyl chloride (PVC) nanoparticles to form an 'eco-corona,' and found this coating changes how the nanoparticles interact with and penetrate cell membranes. Understanding how environmental coatings alter nanoplastic behavior is essential for predicting the true biological toxicity of plastic particles in living organisms.
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