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Monte Carlo Simulation of Protein Adsorption on Energetically Heterogeneous Surfaces

The modified triangular-well potential model was applied to incorporate the effect of surface energy on the adsorption of particles or proteins on energetically heterogeneous surfaces. The method is convenient in simulating the adsorption on heterogeneous surface of which different region possesses...

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Autor principal: Danwanichakul, Panu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124203/
https://www.ncbi.nlm.nih.gov/pubmed/25136574
http://dx.doi.org/10.1155/2014/278098
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author Danwanichakul, Panu
author_facet Danwanichakul, Panu
author_sort Danwanichakul, Panu
collection PubMed
description The modified triangular-well potential model was applied to incorporate the effect of surface energy on the adsorption of particles or proteins on energetically heterogeneous surfaces. The method is convenient in simulating the adsorption on heterogeneous surface of which different region possesses different free energy. Spherical particles with attractive forces were added on the surface and underwent surface diffusion before they were quenched in place. It was seen that the ratio of surface energies of two regions had to be greater than 10 in order to simulate the adsorption in which the particles were selectively adsorbed on a favorable area. At a fixed ratio of surface energies, the obtained structures were similar. If the ratio was less than 10, the probability of adsorption on any site on the surface was not much different so the adsorption would be homogeneous adsorption. The method, thus, could be applied widely to simulate the adsorption of various conditions.
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spelling pubmed-41242032014-08-18 Monte Carlo Simulation of Protein Adsorption on Energetically Heterogeneous Surfaces Danwanichakul, Panu Biomed Res Int Research Article The modified triangular-well potential model was applied to incorporate the effect of surface energy on the adsorption of particles or proteins on energetically heterogeneous surfaces. The method is convenient in simulating the adsorption on heterogeneous surface of which different region possesses different free energy. Spherical particles with attractive forces were added on the surface and underwent surface diffusion before they were quenched in place. It was seen that the ratio of surface energies of two regions had to be greater than 10 in order to simulate the adsorption in which the particles were selectively adsorbed on a favorable area. At a fixed ratio of surface energies, the obtained structures were similar. If the ratio was less than 10, the probability of adsorption on any site on the surface was not much different so the adsorption would be homogeneous adsorption. The method, thus, could be applied widely to simulate the adsorption of various conditions. Hindawi Publishing Corporation 2014 2014-07-16 /pmc/articles/PMC4124203/ /pubmed/25136574 http://dx.doi.org/10.1155/2014/278098 Text en Copyright © 2014 Panu Danwanichakul. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Danwanichakul, Panu
Monte Carlo Simulation of Protein Adsorption on Energetically Heterogeneous Surfaces
title Monte Carlo Simulation of Protein Adsorption on Energetically Heterogeneous Surfaces
title_full Monte Carlo Simulation of Protein Adsorption on Energetically Heterogeneous Surfaces
title_fullStr Monte Carlo Simulation of Protein Adsorption on Energetically Heterogeneous Surfaces
title_full_unstemmed Monte Carlo Simulation of Protein Adsorption on Energetically Heterogeneous Surfaces
title_short Monte Carlo Simulation of Protein Adsorption on Energetically Heterogeneous Surfaces
title_sort monte carlo simulation of protein adsorption on energetically heterogeneous surfaces
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124203/
https://www.ncbi.nlm.nih.gov/pubmed/25136574
http://dx.doi.org/10.1155/2014/278098
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