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An efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation
Membrane nano-inclusions (NIs) are of great interest in biophysics, materials science, nanotechnology, and medicine. We hypothesized that the NIs within a biological membrane bilayer interact via a simple and efficient interaction potential, inspired by previous experimental and theoretical work. Th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695885/ https://www.ncbi.nlm.nih.gov/pubmed/35423551 http://dx.doi.org/10.1039/d1ra00632k |
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author | Lemaalem, M. Hadrioui, N. El Fassi, S. Derouiche, A. Ridouane, H. |
author_facet | Lemaalem, M. Hadrioui, N. El Fassi, S. Derouiche, A. Ridouane, H. |
author_sort | Lemaalem, M. |
collection | PubMed |
description | Membrane nano-inclusions (NIs) are of great interest in biophysics, materials science, nanotechnology, and medicine. We hypothesized that the NIs within a biological membrane bilayer interact via a simple and efficient interaction potential, inspired by previous experimental and theoretical work. This interaction implicitly treats the membrane lipids but takes into account its effect on the NIs micro-arrangement. Thus, the study of the NIs is simplified to a two-dimensional colloidal system with implicit solvent. We calculated the structural properties from Molecular Dynamics simulations (MD), and we developed a Scaling Theory to discuss their behavior. We determined the thermal properties through potential energy per NI and pressure, and we discussed their variation as a function of the NIs number density. We performed a detailed study of the NIs dynamics using two approaches, MD simulations, and Dynamics Theory. We identified two characteristic values of number density, namely a critical number density n(c) = 3.67 × 10(−3) Å(−2) corresponded to the apparition of chain-like structures along with the liquid dispersed structure and the gelation number density n(g) = 8.40 × 10(−3) Å(−2) corresponded to the jamming state. We showed that the aggregation structure of NIs is of fractal dimension d(F) < 2. Also, we identified three diffusion regimes of membrane NIs, namely, normal for n < n(c), subdiffusive for n(c) ≤ n < n(g), and blocked for n ≥ n(g). Thus, this paper proposes a simple and effective approach for studying the physical properties of membrane NIs. In particular, our results identify scaling exponents related to the microstructure and dynamics of membrane NIs. |
format | Online Article Text |
id | pubmed-8695885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-86958852022-04-13 An efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation Lemaalem, M. Hadrioui, N. El Fassi, S. Derouiche, A. Ridouane, H. RSC Adv Chemistry Membrane nano-inclusions (NIs) are of great interest in biophysics, materials science, nanotechnology, and medicine. We hypothesized that the NIs within a biological membrane bilayer interact via a simple and efficient interaction potential, inspired by previous experimental and theoretical work. This interaction implicitly treats the membrane lipids but takes into account its effect on the NIs micro-arrangement. Thus, the study of the NIs is simplified to a two-dimensional colloidal system with implicit solvent. We calculated the structural properties from Molecular Dynamics simulations (MD), and we developed a Scaling Theory to discuss their behavior. We determined the thermal properties through potential energy per NI and pressure, and we discussed their variation as a function of the NIs number density. We performed a detailed study of the NIs dynamics using two approaches, MD simulations, and Dynamics Theory. We identified two characteristic values of number density, namely a critical number density n(c) = 3.67 × 10(−3) Å(−2) corresponded to the apparition of chain-like structures along with the liquid dispersed structure and the gelation number density n(g) = 8.40 × 10(−3) Å(−2) corresponded to the jamming state. We showed that the aggregation structure of NIs is of fractal dimension d(F) < 2. Also, we identified three diffusion regimes of membrane NIs, namely, normal for n < n(c), subdiffusive for n(c) ≤ n < n(g), and blocked for n ≥ n(g). Thus, this paper proposes a simple and effective approach for studying the physical properties of membrane NIs. In particular, our results identify scaling exponents related to the microstructure and dynamics of membrane NIs. The Royal Society of Chemistry 2021-03-16 /pmc/articles/PMC8695885/ /pubmed/35423551 http://dx.doi.org/10.1039/d1ra00632k Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Chemistry Lemaalem, M. Hadrioui, N. El Fassi, S. Derouiche, A. Ridouane, H. An efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation |
title | An efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation |
title_full | An efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation |
title_fullStr | An efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation |
title_full_unstemmed | An efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation |
title_short | An efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation |
title_sort | efficient approach to study membrane nano-inclusions: from the complex biological world to a simple representation |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695885/ https://www.ncbi.nlm.nih.gov/pubmed/35423551 http://dx.doi.org/10.1039/d1ra00632k |
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