Evidence map›Paper›PMID 38718349›Full record

ArticleJournal of chemical theory and computation2024

Evaluating Polarizable Biomembrane Simulations against Experiments.

Hanne S Antila, Sneha Dixit, Batuhan Kav, Jesper J Madsen, Markus S Miettinen, O H Samuli Ollila

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Hanne S AntilaDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Potsdam 14476, Germany.ORCID 0000-0002-2474-5053
Sneha DixitDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Potsdam 14476, Germany.
Batuhan KavInstitute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich, Jïulich 52428, Germany.ORCID 0000-0003-4990-373X
Jesper J MadsenDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida 33612, United States.ORCID 0000-0003-1411-9080
Markus S MiettinenDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Potsdam 14476, Germany.ORCID 0000-0002-3999-4722
O H Samuli OllilaVTT Technical Research Centre of Finland, Espoo 02044, Finland.ORCID 0000-0002-8728-1006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the increase of available computational capabilities and the potential for providing a more accurate description, polarizable molecular dynamics force fields are gaining popularity in modeling biomolecular systems. It is, however, crucial to evaluate how much precision is truly gained with increasing cost and complexity of the simulation. Here, we leverage the NMRlipids open collaboration and Databank to assess the performance of available polarizable lipid models─the CHARMM-Drude and the AMOEBA-based parameters─against high-fidelity experimental data and compare them to the top-performing nonpolarizable models. While some improvement in the description of ion binding to membranes is observed in the most recent CHARMM-Drude parameters, and the conformational dynamics of AMOEBA-based parameters are excellent, the best nonpolarizable models tend to outperform their polarizable counterparts for each property we explored. The identified shortcomings range from inaccuracies in describing the conformational space of lipids to excessively slow conformational dynamics. Our results provide valuable insights for the further refinement of polarizable lipid force fields and for selecting the best simulation parameters for specific applications.

Indexed as

Molecular Dynamics SimulationLipid BilayersLipid Bilayers

Identifiers

PMID38718349
PMCPMC11137822

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Registered trials

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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.