Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis.
MDMC algorithm
ion transport
molecular dynamics
protein channel
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
13 Jun 2023
13 Jun 2023
Historique:
received:
21
04
2023
revised:
15
05
2023
accepted:
23
05
2023
medline:
29
6
2023
pubmed:
28
6
2023
entrez:
28
6
2023
Statut:
epublish
Résumé
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
Identifiants
pubmed: 37373224
pii: ijms241210074
doi: 10.3390/ijms241210074
pmc: PMC10298919
pii:
doi:
Substances chimiques
Ions
0
Membranes, Artificial
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Natural Science Foundation of China
ID : 51936001
Organisme : King Abdullah University of Science and Technology
ID : BAS/1/1351-01
Organisme : King Abdullah University of Science and Technology
ID : URF/1/5028-01
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