Evidence map›Paper›PMID 19362465›Full record

ReviewCurrent opinion in structural biology2009

Systematic multiscale simulation of membrane protein systems.

Gary S Ayton, Gregory A Voth

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Biophysics of membrane curvature remodeling at molecular and mesoscopic lengthscales.Journal of physics. Condensed matter : an Institute of Physics journal · 2018
    Article
  9. Review
  10. Impact of membrane lipid composition on the structure and stability of the transmembrane domain of amyloid precursor protein.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Theoretical frameworks for multiscale modeling and simulation.Current opinion in structural biology · 2014
    Review
  17. Article
  18. Article
  19. Recent advances in transferable coarse-grained modeling of proteins.Advances in protein chemistry and structural biology · 2014
    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

2 authors.

Gary S AytonCenter for Biological Modeling and Simulation, University of Utah, 315 S. 1400 E., Salt Lake City, UT 84112-0850, USA. gazz@hec.utah.edu
Gregory A Voth

Funding

New Method for Biomembrane SimulationsR01GM063796 · NIGMS · UNIVERSITY OF UTAH · PI VOTH, GREGORY A. · 2001 to 2025
$6.3M
NIGMS NIH HHS R01 GM 063796NIGMS NIH HHS R01 GM063796
6 · The paper itself

Abstract

Current multiscale simulation approaches for membrane protein systems vary depending on their degree of connection to the underlying molecular scale interactions. Various approaches have been developed that include such information into coarse-grained models of both the membrane and the proteins. By contrast, other approaches employ parameterizations obtained from experimental data. Mesoscopic models operate at larger scales and have also been employed to examine membrane remodeling, protein inclusions, and ion channel gating. When bridged together such that molecular-level information is propagated between the different scales, a systematic multiscale methodology for membrane protein systems can be achieved.

Indexed as

Computer SimulationMembrane ProteinsModels, MolecularProtein ConformationSoftwareMembrane Proteins

Identifiers

PMID19362465
PMCPMC4693605

What OpenQuestion holds

Textmetadata
LicenceTDM
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.