The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Spontaneous Formation of KCl Aggregates in Biomolecular Simulations: A Force Field Issue?
Abstract
Realistic all-atom simulation of biological systems requires accurate modeling of both the biomolecules and their ionic environment. Recently, ion nucleation phenomena leading to the rapid growth of KCl or NaCl clusters in the vicinity of biomolecular systems have been reported. To better understand this phenomenon, molecular dynamics simulations of KCl aqueous solutions at three (1.0, 0.25, and 0.10 M) concentrations were performed. Two popular water models (TIP3P and SPC/E) and two Lennard-Jones parameter sets (AMBER and Dang) were combined to produce a total of 80 ns of molecular dynamics trajectories. Results suggest that the use of the Dang cation Lennard-Jones parameters instead of those adopted by the AMBER force-field produces a more accurate description of the ionic solution. In the later case, formation of salt aggregates is probably indicative of an artifact resulting from misbalanced force-field parameters. Because similar results were obtained with two different water parameter sets, the simulations exclude a water model dependency in the formation of anomalous ionic clusters. Overall, the results strongly suggest that for accurate modeling of ions in biomolecular systems, great care should be taken in choosing balanced ionic parameters even when using the most popular force-fields. These results invite a reexamination of older data obtained using available force-fields and a thorough check of the quality of current parameters sets by performing simulations at finite (>0.25 M) instead of minimal salt conditions.
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
The Amber biomolecular simulation programs
Case, D. A., Cheatham, T. E., Darden, T., Gohlke, H., Luo, R., Merz, K. M., Onufriev, A., Simmerling, C., Wang, B., & Woods, R. J. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20290 · Cited by 9,535
Self-citation
Cited by
RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview
Šponer, J., Bussi, G., Krepl, M., Banáš, P., Bottaro, S., Cunha, R. A., Gil-Ley, A., Pinamonti, G., Poblete, S., Jurečka, P., et al. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00427 · Cited by 599
Understanding Nucleic Acid–Ion Interactions
Lipfert, J., Doniach, S., Das, R., & Herschlag, D. (2014) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-060409-092720 · Cited by 472
Zeron, I. M., Abascal, J. L. F., & Vega, C. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5121392 · Cited by 346
Ion Pairing in Molecular Simulations of Aqueous Alkali Halide Solutions
Fennell, C. J., Bizjak, A., Vlachy, V., & Dill, K. A. (2009) · The Journal of Physical Chemistry B · doi:10.1021/jp809782z · Cited by 318
Metadata
- Authors
- Auffinger, P., Cheatham, T. E., & Vaiana, A. C.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-08-18
- Volume
- 3
- Issue
- 5
- Pages
- 1851-1859
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2054531267
- Cited by
- 170
- References
- 1
- FWCI
- 10.40
- 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: Spontaneous Formation of KCl Aggregates in Biomolecular Simulations: A Force Field Issue? https://app.cochat.ai/papers/10.1021/ct700143s
- The paper
- Auffinger, P., Cheatham, T. E., & Vaiana, A. C. (2007). Spontaneous Formation of KCl Aggregates in Biomolecular Simulations: A Force Field Issue? Journal of Chemical Theory and Computation. https://doi.org/10.1021/ct700143s
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.