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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Mixed Atomistic and Coarse-Grained Molecular Dynamics: Simulation of a Membrane-Bound Ion Channel

Shi, Qiang, Izvekov, Sergei, Voth, Gregory A.·2006·The Journal of Physical Chemistry B

Abstract

The recently developed multiscale coarse-graining (MS-CG) method (Izvekov, S.; Voth, G. A. J. Phys. Chem. B 2005, 109, 2469; J. Chem. Phys. 2005, 123, 134105) is used to build a mixed all-atom and coarse-grained (AA-CG) model of the gramicidin A (gA) ion channel embedded in a dimyristoylphosphatidylcholine (DMPC) lipid bilayer and water environment. In this model, the gA peptide was described in full atomistic detail, while the lipid and water molecules were described using coarse-grained representations. The atom-CG and CG-CG interactions in the mixed AA-CG model were determined using the MS-CG method. Molecular dynamics (MD) simulations were performed using the resulting AA-CG model. The results from simulations of the AA-CG model compare very favorably to those from all-atom MD simulations of the entire system. Since the MS-CG method employs a general and systematic approach to obtain effective interactions from the underlying all-atom models, the present approach to rigorously develop mixed AA-CG models has the potential to be extended to many other systems.

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Metadata

Authors
Shi, Q., Izvekov, S., & Voth, G. A.
Venue
The Journal of Physical Chemistry B
Published
2006-07-20
Volume
110
Issue
31
Pages
15045-15048
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W2047022491
Cited by
273
References
4
FWCI
7.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mixed Atomistic and Coarse-Grained Molecular Dynamics: Simulation of a Membrane-Bound Ion Channel. https://app.cochat.ai/papers/10.1021/jp062700h
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Shi, Q., Izvekov, S., & Voth, G. A. (2006). Mixed Atomistic and Coarse-Grained Molecular Dynamics: Simulation of a Membrane-Bound Ion Channel. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp062700h

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.