Evidence map›Paper›PMID 32145948›Full record

ArticleProgress in molecular biology and translational science2020

Computer simulations of protein-membrane systems.

Jennifer Loschwitz, Olujide O Olubiyi, Jochen S Hub, Birgit Strodel, Chetan S Poojari

Abstract read
In one paragraph

Article in Progress in molecular biology and translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Membrane Complexity and Phase Behavior Dictate the Stability of Membrane-Inserted AβChemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  2. Review
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  12. Review
  13. Evaluating Biofilm Inhibitory Potential in Fish Pathogen,Antibiotics (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors.

Jennifer LoschwitzInstitute of Theoretical and Computational Chemistry, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Biological Information Processing (IBI-7: Structural Biochemistry), Forschungszentrum Jülich, Jülich, Germany.
Olujide O OlubiyiInstitute of Biological Information Processing (IBI-7: Structural Biochemistry), Forschungszentrum Jülich, Jülich, Germany; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Nigeria.
Jochen S HubTheoretical Physics and Center for Biophysics, Saarland University, Saarbrücken, Germany.
Birgit StrodelInstitute of Theoretical and Computational Chemistry, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Biological Information Processing (IBI-7: Structural Biochemistry), Forschungszentrum Jülich, Jülich, Germany.
Chetan S PoojariTheoretical Physics and Center for Biophysics, Saarland University, Saarbrücken, Germany. Electronic address: chetan.poojari@uni-saarland.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interactions between proteins and membranes play critical roles in signal transduction, cell motility, and transport, and they are involved in many types of diseases. Molecular dynamics (MD) simulations have greatly contributed to our understanding of protein-membrane interactions, promoted by a dramatic development of MD-related software, increasingly accurate force fields, and available computer power. In this chapter, we present available methods for studying protein-membrane systems with MD simulations, including an overview about the various all-atom and coarse-grained force fields for lipids, and useful software for membrane simulation setup and analysis. A large set of case studies is discussed.

Indexed as

Computer SimulationHumansHydrophobic and Hydrophilic InteractionsMembrane LipidsMembrane MicrodomainsMembrane ProteinsMolecular Dynamics SimulationSoftwareThermodynamicsUser-Computer InterfaceMembrane LipidsMembrane ProteinsAll-atom force fieldsCoarse-grained force fieldsLipidsMembraneMolecular dynamics simulationsProtein–lipid interactions

Identifiers

PMID32145948
PMCPMC7109768

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.