Evidence map›Paper›PMID 35520151›Full record

ReviewRSC advances2019

Shedding light on the structural properties of lipid bilayers using molecular dynamics simulation: a review study.

Sajad Moradi, Amin Nowroozi, Mohsen Shahlaei

Erratum issuedAbstract readReview
In one paragraph

Review in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sajad MoradiNano Drug Delivery Research Center, Kermanshah University of Medical Sciences Kermanshah Iran.
Amin NowrooziPharmaceutical Sciences Research Center, Faculty of Pharmacy, Kermanshah University of Medical Sciences Kermanshah Iran.
Mohsen ShahlaeiMedical Biology Research Center, Kermanshah University of Medical Sciences Kermanshah Iran mohsenshahlaei@yahoo.com m.shahlaei@kums.ac.ir.ORCID https://orcid.org/0000-0001-8833-6235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, a massive increase has been observed in the number of published articles describing accurate and reliable molecular dynamics simulations of lipid bilayers. This is due to several reasons, including the development of fast and efficient methods for treating long-range electrostatic interactions, significant progress in computer hardware, progress in atomistic simulation algorithms and the development of well-validated empirical molecular mechanical force fields. Although molecular dynamics is an effective approach for investigating different aspects of lipid bilayers, to the best of our knowledge, there is no review in the literature that explains the different analyses that can be carried out with membrane simulation. This review gives an overview about the some of the most important possible analyses, technical challenges, and existing protocols that can be performed on the biological membrane by molecular dynamics simulation. The reviewed analyses include the degree of membrane disruption, average area per lipid, probability distributions for the area per lipid molecule, membrane thickness, membrane area compressibility, lateral diffusion, rotational diffusion, order parameters, head group tilt, electron density profile, mass density profile, electrostatic potential profile, ordering of vicinity waters, number of hydrogen bonds, and radial distribution function.

Identifiers

PMID35520151
PMCPMC9060685

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.