Evidence map›Paper›PMID 21134351›Full record

ReviewBiochimica et biophysica acta2011

An NMR database for simulations of membrane dynamics.

Avigdor Leftin, Michael F Brown

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cholesterol Stiffening of Lipid Membranes.The Journal of membrane biology · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Biochimica et biophysica acta. Biomembranes · 2020
    Article
  14. Article
  15. Computer simulations of protein-membrane systems.Progress in molecular biology and translational science · 2020
    Article
  16. Review
  17. Simulation Best Practices for Lipid Membranes [Article v1.0].Living journal of computational molecular science · 2019
    Article
  18. Article
  19. Article
  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

2 authors.

Avigdor LeftinDepartment of Chemistry, University of Arizona, Tucson, AZ 85721, USA.
Michael F Brown

Funding

MEMBRANE BASIS OF VISUAL EXCITATIONR01EY012049 · NEI · UNIVERSITY OF ARIZONA · PI BROWN, MICHAEL F · 1998 to 2012
$3.3M
LIPID MODULATION OF RHODOPSIN SIGNALING IN MEMBRANESR01EY018891 · NEI · UNIVERSITY OF ARIZONA · PI BROWN, MICHAEL F · 2008 to 2010
$1.1M
NEI NIH HHS R01 EY012049NEI NIH HHS R01 EY018891
6 · The paper itself

Abstract

Computational methods are powerful in capturing the results of experimental studies in terms of force fields that both explain and predict biological structures. Validation of molecular simulations requires comparison with experimental data to test and confirm computational predictions. Here we report a comprehensive database of NMR results for membrane phospholipids with interpretations intended to be accessible by non-NMR specialists. Experimental ¹³C-¹H and ²H NMR segmental order parameters (S(CH) or S(CD)) and spin-lattice (Zeeman) relaxation times (T(1Z)) are summarized in convenient tabular form for various saturated, unsaturated, and biological membrane phospholipids. Segmental order parameters give direct information about bilayer structural properties, including the area per lipid and volumetric hydrocarbon thickness. In addition, relaxation rates provide complementary information about molecular dynamics. Particular attention is paid to the magnetic field dependence (frequency dispersion) of the NMR relaxation rates in terms of various simplified power laws. Model-free reduction of the T(1Z) studies in terms of a power-law formalism shows that the relaxation rates for saturated phosphatidylcholines follow a single frequency-dispersive trend within the MHz regime. We show how analytical models can guide the continued development of atomistic and coarse-grained force fields. Our interpretation suggests that lipid diffusion and collective order fluctuations are implicitly governed by the viscoelastic nature of the liquid-crystalline ensemble. Collective bilayer excitations are emergent over mesoscopic length scales that fall between the molecular and bilayer dimensions, and are important for lipid organization and lipid-protein interactions. Future conceptual advances and theoretical reductions will foster understanding of biomembrane structural dynamics through a synergy of NMR measurements and molecular simulations.

Indexed as

Cell MembraneDatabases, FactualMagnetic Resonance SpectroscopyMolecular Dynamics SimulationAnimalsComputer SimulationHumansLipid BilayersModels, MolecularLipid Bilayers

Identifiers

PMID21134351
PMCPMC5176272

What OpenQuestion holds

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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.