Evidence map›Paper›PMID 27327264›Full record

ReviewJournal of structural biology2016

Multiscale simulations of protein-facilitated membrane remodeling.

Aram Davtyan, Mijo Simunovic, Gregory A Voth

Abstract readReview
In one paragraph

Review in Journal of structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Large-Scale Molecular Dynamics Simulations of Cellular Compartments.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  4. Review
  5. Review
  6. Biophysics of membrane curvature remodeling at molecular and mesoscopic lengthscales.Journal of physics. Condensed matter : an Institute of Physics journal · 2018
    Article
  7. Article
  8. Article
  9. Systems biology of cellular membranes: a convergence with biophysics.Wiley interdisciplinary reviews. Systems biology and medicine · 2017
    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

3 authors.

Aram DavtyanDepartment of Chemistry, The James Franck Institute, Institute for Biophysical Dynamics, and Computation Institute, The University of Chicago, Chicago, IL 60637, USA.
Mijo SimunovicDepartment of Chemistry, The James Franck Institute, Institute for Biophysical Dynamics, and Computation Institute, The University of Chicago, Chicago, IL 60637, USA; The Rockefeller University, 1230 York Ave, New York, NY 10065, USA.
Gregory A VothDepartment of Chemistry, The James Franck Institute, Institute for Biophysical Dynamics, and Computation Institute, The University of Chicago, Chicago, IL 60637, USA. Electronic address: gavoth@uchicago.edu.

Funding

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

Abstract

Protein-facilitated shape and topology changes of cell membranes are crucial for many biological processes, such as cell division, protein trafficking, and cell signaling. However, the inherently multiscale nature of membrane remodeling presents a considerable challenge for understanding the mechanisms and physics that drive this process. To address this problem, a multiscale approach that makes use of a diverse set of computational and experimental techniques is required. The atomistic simulations provide high-resolution information on protein-membrane interactions. Experimental techniques, like electron microscopy, on the other hand, resolve high-order organization of proteins on the membrane. Coarse-grained (CG) and mesoscale computational techniques provide the intermediate link between the two scales and can give new insights into the underlying mechanisms. In this Review, we present the recent advances in multiscale computational approaches established in our group. We discuss various CG and mesoscale approaches in studying the protein-mediated large-scale membrane remodeling.

Indexed as

AnimalsCell MembraneComputer SimulationHumansMembrane ProteinsMicroscopy, ElectronMembrane ProteinsBAR proteinsCoarse-grained simulationsMembrane remodelingMesoscale simulationsMolecular dynamics

Identifiers

PMID27327264
PMCPMC5031523

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.