Evidence map›Paper›PMID 29675899›Full record

ArticleProteins2018

Structure refinement of membrane proteins via molecular dynamics simulations.

Bercem Dutagaci, Lim Heo, Michael Feig

Abstract read
In one paragraph

Article in Proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Diverse Scientific Benchmarks for Implicit Membrane Energy Functions.Journal of chemical theory and computation · 2021
    Article
  7. Article
  8. Molecular Dynamics Simulations of Mitochondrial Uncoupling Protein 2.International journal of molecular sciences · 2021
    Article
  9. Article
  10. Article
  11. Methods for the Refinement of Protein Structure 3D Models.International journal of molecular sciences · 2019
    Review
  12. Review
  13. Experimental accuracy in protein structure refinement via molecular dynamics simulations.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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.

Bercem DutagaciDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA.
Lim HeoDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA.
Michael FeigDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0001-9380-6422

Funding

Protein structure refinement through effective sampling and scoringR01GM084953 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2008 to 2017
$2.5M
NIGMS NIH HHS R01 GM084953
6 · The paper itself

Abstract

A refinement protocol based on physics-based techniques established for water soluble proteins is tested for membrane protein structures. Initial structures were generated by homology modeling and sampled via molecular dynamics simulations in explicit lipid bilayer and aqueous solvent systems. Snapshots from the simulations were selected based on scoring with either knowledge-based or implicit membrane-based scoring functions and averaged to obtain refined models. The protocol resulted in consistent and significant refinement of the membrane protein structures similar to the performance of refinement methods for soluble proteins. Refinement success was similar between sampling in the presence of lipid bilayers and aqueous solvent but the presence of lipid bilayers may benefit the improvement of lipid-facing residues. Scoring with knowledge-based functions (DFIRE and RWplus) was found to be as good as scoring using implicit membrane-based scoring functions suggesting that differences in internal packing is more important than orientations relative to the membrane during the refinement of membrane protein homology models.

Indexed as

Molecular Dynamics SimulationDatabases, ProteinHydrophobic and Hydrophilic InteractionsMembrane ProteinsMolecular Docking SimulationProtein ConformationMembrane Proteinshomology modelsimplicit membrane modelmembrane protein structure predictionmolecular dynamics simulation

Identifiers

PMID29675899
PMCPMC6013386

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Registered trials

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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.