Evidence map›Paper›PMID 33295174›Full record

ArticleJournal of chemical information and modeling2020

Conduction and Gating Properties of the TRAAK Channel from Molecular Dynamics Simulations with Different Force Fields.

Riccardo Ocello, Simone Furini, Francesca Lugli, Maurizio Recanatini, Carmen Domene, Matteo Masetti

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Gating crosstalk in potassium channels.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. Effective polarization in potassium channel simulations: Ion conductance, occupancy, voltage response, and selectivity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
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  9. Early Steps in C-Type Inactivation of the hERG Potassium Channel.Journal of chemical information and modeling · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Review
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

6 authors at 3 institutions in 3 countries.

Riccardo OcelloDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum-Università di Bologna, via Belmeloro 6, 40126 Bologna, Italy.
Simone FuriniDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-1099-8279
Francesca LugliDepartment of Chemistry "G. Ciamician", Alma Mater Studiorum-Università di Bologna, via Selmi 2, 40126 Bologna, Italy.ORCID 0000-0001-6908-5469
Maurizio RecanatiniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum-Università di Bologna, via Belmeloro 6, 40126 Bologna, Italy.ORCID 0000-0002-0039-0518
Carmen DomeneDepartment of Chemistry, University of Bath, Claverton Down, BA2 7AY Bath, U.K.ORCID 0000-0001-7115-4232
Matteo MasettiDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum-Università di Bologna, via Belmeloro 6, 40126 Bologna, Italy.ORCID 0000-0002-3757-7802
University of Bologna · ITMansfield University · USUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the K2P family of potassium channels has been the subject of intense research activity. Owing to the complex function and regulation of this family of ion channels, it is common practice to complement experimental findings with the atomistic description provided by computational approaches such as molecular dynamics (MD) simulations, especially, in light of the unprecedented timescales accessible at present. However, despite recent substantial improvements, the accuracy of MD simulations is still undermined by the intrinsic limitations of force fields. Here, we systematically assessed the performance of the most popular force fields employed to study ion channels at timescales that are orders of magnitude greater than the ones accessible when these energy functions were first developed. Using 32 μs of trajectories, we investigated the dynamics of a member of the K2P ion channel family, the TRAAK channel, using two established force fields in simulations of biological systems: AMBER and CHARMM. We found that while results are comparable on the nanosecond timescales, significant inconsistencies arise at microsecond timescales.

Indexed as

Molecular Dynamics SimulationPotassium ChannelsIon ChannelsIon ChannelsPotassium Channels

Identifiers

PMID33295174
PMCPMC8016162
OpenAlexW3111236840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.