Proteinadsorption on the hydrophilic surface of a glassy polymer: a computer simulation study

Literature Information

Publication Date 2006-05-19
DOI 10.1039/B604540E
Impact Factor 3.676
Authors

Giuseppina Raffaini, Fabio Ganazzoli


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Abstract

Using atomistic computer simulations, we study the adsorption of different globular protein fragments with different secondary structures on the surface of a hydrophilic glassy polymer, poly(vinyl alcohol), or PVA, and compare the results with our earlier calculations on hydrophobic graphite. The simulations were mainly carried out with implicit solvent in an effective dielectric medium by energy minimizations and molecular dynamics at room temperature. We find that on the hydrophilic PVA surface the fragments basically retain their globular shape with an incomplete denaturation, at variance with our earlier results for the same fragments on graphite. Correspondingly, the interaction energy between the fragments and the surface is significantly smaller than on graphite, both because less residues are in contact with the surface, and because they interact more weakly. Moreover, very few hydrogen bonds are formed between the adsorbate and the PVA surface, since both the protein fragments and the polymer chains separately optimize these interactions. Additional molecular dynamics simulations in explicit solvent were also performed to study the hydration of the adsorbed fragments and to estimate the possible solvation effects.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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