Evidence map›Paper›PMID 26766517›Full record

ReviewBiochimica et biophysica acta2016

Molecular dynamics simulations of biological membranes and membrane proteins using enhanced conformational sampling algorithms.

Takaharu Mori, Naoyuki Miyashita, Wonpil Im, Michael Feig, Yuji Sugita

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CHARMM-GUIJournal of chemical information and modeling · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Simulation and Modeling of the Adhesion ofPathogens (Basel, Switzerland) · 2024
    Article
  16. Article
  17. Molecular Dynamics as a Tool for Virtual Ligand Screening.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  18. Neighbor List Artifacts in Molecular Dynamics Simulations.Journal of chemical theory and computation · 2023
    Article
  19. 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

5 authors.

Takaharu MoriiTHES Research Group and Theoretical Molecular Science Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
Naoyuki MiyashitaLaboratory for Biomolecular Function Simulation, RIKEN Quantitative Biology Center, Integrated Innovation Building 7F, 6-7-1 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Faculty of Biology-Oriented Science and Technology, KINDAI University, 930 Nishimitani, Kinokawa, Wakayama 649-6493, Japan.
Wonpil ImDepartment of Molecular Sciences and Center for Computational Biology, The University of Kansas, 2030 Becker Drive, Lawrence, KS 66047, United States.
Michael FeigLaboratory for Biomolecular Function Simulation, RIKEN Quantitative Biology Center, Integrated Innovation Building 7F, 6-7-1 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, United States; Department of Chemistry, Michigan State University, East Lansing, MI 48824, United States.
Yuji SugitaiTHES Research Group and Theoretical Molecular Science Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Laboratory for Biomolecular Function Simulation, RIKEN Quantitative Biology Center, Integrated Innovation Building 7F, 6-7-1 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Department of Chemistry, Michigan State University, East Lansing, MI 48824, United States; Computational Biophysics Research Team, RIKEN Advanced Institute for Computational Science, 7-1-26 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan. Electronic address: sugita@riken.jp.

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI PEROZO, EDUARDO A · 2010 to 2017
$31.9M
Protein structure refinement through effective sampling and scoringR01GM084953 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2008 to 2017
$2.5M
Mechanisms & Energetics of Transmembrane-induced Signaling of Cytokine ReceptorsR01GM092950 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI IM, WONPIL · 2010 to 2014
$1.4M
Multiscale modeling of supramolecular protein-DNA assembliesR01GM092949 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2010 to 2013
$1.1M
NIGMS NIH HHS GM084953NIGMS NIH HHS GM092949NIGMS NIH HHS GM092950NIGMS NIH HHS R01 GM084953NIGMS NIH HHS R01 GM092949NIGMS NIH HHS R01 GM092950NIGMS NIH HHS U54 GM087519NIGMS NIH HHS U54GM087519
6 · The paper itself

Abstract

This paper reviews various enhanced conformational sampling methods and explicit/implicit solvent/membrane models, as well as their recent applications to the exploration of the structure and dynamics of membranes and membrane proteins. Molecular dynamics simulations have become an essential tool to investigate biological problems, and their success relies on proper molecular models together with efficient conformational sampling methods. The implicit representation of solvent/membrane environments is reasonable approximation to the explicit all-atom models, considering the balance between computational cost and simulation accuracy. Implicit models can be easily combined with replica-exchange molecular dynamics methods to explore a wider conformational space of a protein. Other molecular models and enhanced conformational sampling methods are also briefly discussed. As application examples, we introduce recent simulation studies of glycophorin A, phospholamban, amyloid precursor protein, and mixed lipid bilayers and discuss the accuracy and efficiency of each simulation model and method. This article is part of a Special Issue entitled: Membrane Proteins edited by J.C. Gumbart and Sergei Noskov.

Indexed as

AlgorithmsMolecular Dynamics SimulationBinding SitesCell MembraneComputer SimulationLipid BilayersMembrane ProteinsModels, ChemicalModels, StatisticalProtein BindingProtein ConformationProtein Interaction MappingLipid BilayersMembrane ProteinsGeneralized Born (GB) modelGeneralized-ensemble algorithmReplica-exchange molecular dynamics (REMD)Replica-exchange umbrella sampling (REUS)Replica exchange with solute tempering (REST)Surface-tension REMD

Identifiers

PMID26766517
PMCPMC4877274

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.