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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Jie, Zhang, Tao, Sun, Shuyu
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