Evidence map›Paper›PMID 29022713›Full record

ArticleThe journal of physical chemistry letters2017

Extending the Nonbonded Cationic Dummy Model to Account for Ion-Induced Dipole Interactions.

Qinghua Liao, Anna Pabis, Birgit Strodel, Shina Caroline Lynn Kamerlin

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Journal of chemical theory and computation · 2024
    Article
  6. Binding of Phosphate Species to CaJournal of chemical theory and computation · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Active-Site Models ofFrontiers in molecular biosciences · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Qinghua LiaoScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, Uppsala 75124, Sweden.ORCID http://orcid.org/0000-0002-2260-8493
Anna PabisScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, Uppsala 75124, Sweden.ORCID http://orcid.org/0000-0002-7705-5371
Birgit StrodelInstitute of Complex Systems: Structural Biochemistry (ICS-6), Forschungszentrum Jülich GmbH , 52425 Jülich, Germany.ORCID http://orcid.org/0000-0002-8734-7765
Shina Caroline Lynn KamerlinScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, Uppsala 75124, Sweden.ORCID http://orcid.org/0000-0002-3190-1173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling metalloproteins often requires classical molecular dynamics (MD) simulations in order to capture their relevant motions, which in turn necessitates reliable descriptions of the metal centers involved. One of the most successful approaches to date is provided by the "cationic dummy model", where the positive charge of the metal ion is transferred toward dummy particles that are bonded to the central metal ion in a predefined coordination geometry. While this approach allows for ligand exchange, and captures the correct electrostatics as demonstrated for different divalent metal ions, current dummy models neglect ion-induced dipole interactions. In the present work, we resolve this weakness by taking advantage of the recently introduced 12-6-4 type Lennard-Jones potential to include ion-induced dipole interactions. We revise our previous dummy model for Mg

Identifiers

PMID29022713
PMCPMC5672556

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.