Cargando…
Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis
In recent decades, the development of dialysis techniques has greatly improved the survival rate of renal failure patients, and peritoneal dialysis is gradually showing dominance over hemodialysis. This method relies on the abundant membrane proteins in the peritoneum, avoiding the use of artificial...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298919/ https://www.ncbi.nlm.nih.gov/pubmed/37373224 http://dx.doi.org/10.3390/ijms241210074 |
_version_ | 1785064235238162432 |
---|---|
author | Liu, Jie Zhang, Tao Sun, Shuyu |
author_facet | Liu, Jie Zhang, Tao Sun, Shuyu |
author_sort | Liu, Jie |
collection | PubMed |
description | In recent decades, the development of dialysis techniques has greatly improved the survival rate of renal failure patients, and peritoneal dialysis is gradually showing dominance over hemodialysis. This method relies on the abundant membrane proteins in the peritoneum, avoiding the use of artificial semipermeable membranes, and the ion fluid transport is partly controlled by the protein nanochannels. Hence, this study investigated ion transport in these nanochannels by using molecular dynamics (MD) simulations and an MD Monte Carlo (MDMC) algorithm for a generalized protein nanochannel model and a saline fluid environment. The spatial distribution of ions was determined via MD simulations, and it agreed with that modeled via the MDMC method; the effects of simulation duration and external electronic fields were also explored to validate the MDMC algorithm. The specific atomic sequence within a nanochannel was visualized, which was the rare transport state during the ion transport process. The residence time was assessed through both methods to represent the involved dynamic process, and its values showed the temporal sequential order of different components in the nanochannel as follows: H(2)O > Na(+) > Cl(−). The accurate prediction using the MDMC method of the spatial and temporal properties proves its suitability to handle ion transport problems in protein nanochannels. |
format | Online Article Text |
id | pubmed-10298919 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102989192023-06-28 Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis Liu, Jie Zhang, Tao Sun, Shuyu Int J Mol Sci Article In recent decades, the development of dialysis techniques has greatly improved the survival rate of renal failure patients, and peritoneal dialysis is gradually showing dominance over hemodialysis. This method relies on the abundant membrane proteins in the peritoneum, avoiding the use of artificial semipermeable membranes, and the ion fluid transport is partly controlled by the protein nanochannels. Hence, this study investigated ion transport in these nanochannels by using molecular dynamics (MD) simulations and an MD Monte Carlo (MDMC) algorithm for a generalized protein nanochannel model and a saline fluid environment. The spatial distribution of ions was determined via MD simulations, and it agreed with that modeled via the MDMC method; the effects of simulation duration and external electronic fields were also explored to validate the MDMC algorithm. The specific atomic sequence within a nanochannel was visualized, which was the rare transport state during the ion transport process. The residence time was assessed through both methods to represent the involved dynamic process, and its values showed the temporal sequential order of different components in the nanochannel as follows: H(2)O > Na(+) > Cl(−). The accurate prediction using the MDMC method of the spatial and temporal properties proves its suitability to handle ion transport problems in protein nanochannels. MDPI 2023-06-13 /pmc/articles/PMC10298919/ /pubmed/37373224 http://dx.doi.org/10.3390/ijms241210074 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Jie Zhang, Tao Sun, Shuyu Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis |
title | Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis |
title_full | Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis |
title_fullStr | Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis |
title_full_unstemmed | Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis |
title_short | Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis |
title_sort | molecular dynamics simulations of ion transport through protein nanochannels in peritoneal dialysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298919/ https://www.ncbi.nlm.nih.gov/pubmed/37373224 http://dx.doi.org/10.3390/ijms241210074 |
work_keys_str_mv | AT liujie moleculardynamicssimulationsofiontransportthroughproteinnanochannelsinperitonealdialysis AT zhangtao moleculardynamicssimulationsofiontransportthroughproteinnanochannelsinperitonealdialysis AT sunshuyu moleculardynamicssimulationsofiontransportthroughproteinnanochannelsinperitonealdialysis |