Evidence map›Paper›PMID 27341016›Full record

ReviewCurrent opinion in structural biology2016

Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale.

Matthieu Chavent, Anna L Duncan, Mark Sp Sansom

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
11.5field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 158 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The Role of Cholesterol in M2 Clustering and Viral Budding Explained.Journal of chemical theory and computation · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Comprehensive Characterization of LAT1 Cholesterol-Binding Sites.Journal of chemical theory and computation · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. CHARMM-GUIJournal of chemical theory and computation · 2023
    Review

14 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Matthieu ChaventDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK.
Anna L DuncanDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK.
Mark Sp SansomDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK. Electronic address: mark.sansom@bioch.ox.ac.uk.
University of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I019855/1Wellcome Trust
6 · The paper itself

Abstract

Molecular dynamics simulations provide a computational tool to probe membrane proteins and systems at length scales ranging from nanometers to close to a micrometer, and on microsecond timescales. All atom and coarse-grained simulations may be used to explore in detail the interactions of membrane proteins and specific lipids, yielding predictions of lipid binding sites in good agreement with available structural data. Building on the success of protein-lipid interaction simulations, larger scale simulations reveal crowding and clustering of proteins, resulting in slow and anomalous diffusional dynamics, within realistic models of cell membranes. Current methods allow near atomic resolution simulations of small membrane organelles, and of enveloped viruses to be performed, revealing key aspects of their structure and functionally important dynamics.

Indexed as

Molecular Dynamics SimulationAnimalsCell MembraneHumansLipid MetabolismMembrane ProteinsProtein BindingMembrane Proteins

Identifiers

PMID27341016
PMCPMC5404110
OpenAlexW2464780468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.