The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Multi-property fitting and parameterization of a coarse grained model for aqueous surfactants
Abstract
A new systematic approach to build coarse-grained (CG) molecular models for surfactants/water systems is proposed. A step-by-step approach using several molecular systems for the parameterization makes the CG model versatile and transferable. The intramolecular bond potentials are determined to reproduce the bond and angle distributions obtained from all-atom (AA) molecular dynamics (MD) simulations. A careful choice of the potential function for nonbonded interactions is essential for better structural properties. Density and surface/interfacial tension data are used for parameter fitting, because these thermodynamic properties are of key importance in characterizing the self-organized surfactant structure. Solvation (hydration) and transfer free energies, which play an essential role in determining the partition of solute molecules, are also taken into account in the model.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
Comparison of simple potential functions for simulating liquid water
Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W., & Klein, M. L. (1983) · The Journal of Chemical Physics · doi:10.1063/1.445869 · Cited by 41,298
Self-citationA unified formulation of the constant temperature molecular dynamics methods
Nosé, S. (1984) · The Journal of Chemical Physics · doi:10.1063/1.447334 · Cited by 19,152
All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins
MacKerell, A. D., Bashford, D., Bellott, M., Dunbrack, R. L., Evanseck, J. D., Field, M. J., Fischer, S., Gao, J., Guo, H., Ha, S., et al. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp973084f · Cited by 14,311
Nosé–Hoover chains: The canonical ensemble via continuous dynamics
Martyna, G. J., Klein, M. L., & Tuckerman, M. (1992) · The Journal of Chemical Physics · doi:10.1063/1.463940 · Cited by 5,924
Self-citationConstant pressure molecular dynamics algorithms
Martyna, G. J., Tobias, D. J., & Klein, M. L. (1994) · The Journal of Chemical Physics · doi:10.1063/1.467468 · Cited by 5,804
Self-citationNonequilibrium Equality for Free Energy Differences
Jarzynski, C. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.2690 · Cited by 5,293
Understanding Molecular Simulation: From Algorithms to Applications
Frenkel, D., Smit, B., & Ratner, M. A. (1997) · Physics Today · doi:10.1063/1.881812 · Cited by 5,059
Reversible multiple time scale molecular dynamics
Tuckerman, M., Berne, B. J., & Martyna, G. J. (1992) · The Journal of Chemical Physics · doi:10.1063/1.463137 · Cited by 3,592
Cited by
Thompson, A. P., Aktulga, H. M., Berger, R., Bolintineanu, D. S., Brown, W. M., Crozier, P. S., in 't Veld, P. J., Kohlmeyer, A., Moore, S. G., Nguyen, T. D., et al. (2022) · Computer Physics Communications · doi:10.1016/j.cpc.2021.108171 · Cited by 12,598
Using collective variables to drive molecular dynamics simulations
Fiorin, G., Klein, M. L., & Hénin, J. (2013) · Molecular Physics · doi:10.1080/00268976.2013.813594 · Cited by 1,053
Self-citationPerspective: Coarse-grained models for biomolecular systems
Noid, W. G. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4818908 · Cited by 893
Lipids on the move: Simulations of membrane pores, domains, stalks and curves
Marrink, S. J., de Vries, A. H., & Tieleman, D. P. (2009) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2008.10.006 · Cited by 440
Amphiphile nanoarchitectonics: from basic physical chemistry to advanced applications
Ramanathan, M., Shrestha, L. K., Mori, T., Ji, Q., Hill, J. P., & Ariga, K. (2013) · Physical Chemistry Chemical Physics · doi:10.1039/c3cp50620g · Cited by 353
Metadata
- Authors
- Shinoda, W., DeVane, R., & Klein, M. L.
- Venue
- Molecular Simulation
- Publisher
- Informa UK Limited
- Published
- 2007-01
- Volume
- 33
- Issue
- 1-2
- Pages
- 27-36
- ISSN
- 0892-7022 (ISSN-L)
- 1029-0435
- OpenAlex
- W1964694986
- Cited by
- 477
- References
- 34
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Multi-property fitting and parameterization of a coarse grained model for aqueous surfactants. https://app.cochat.ai/papers/10.1080/08927020601054050
- The paper
- Shinoda, W., DeVane, R., & Klein, M. L. (2007). Multi-property fitting and parameterization of a coarse grained model for aqueous surfactants. Molecular Simulation. https://doi.org/10.1080/08927020601054050
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.