Evidence map›Paper›PMID 28746855›Full record

ArticleBiophysical journal2017

A Versatile Framework for Simulating the Dynamic Mechanical Structure of Cytoskeletal Networks.

Simon L Freedman, Shiladitya Banerjee, Glen M Hocky, Aaron R Dinner

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

43 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Form and function in biological filaments: a physicist's review.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Review
  5. Engineering filamentous myosins for optical control of contractility.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Morphometric analysis of actin networks.Molecular biology of the cell · 2024
    Article
  11. Article
  12. Article
  13. Adaptive nonequilibrium design of actin-based metamaterials: Fundamental and practical limits of control.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. A unified model for the dynamics of ATP-independent ultrafast contraction.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 2 countries.

Simon L FreedmanDepartment of Physics, University of Chicago, Chicago, Illinois; James Franck Institute, University of Chicago, Chicago, Illinois.
Shiladitya BanerjeeDepartment of Physics and Astronomy, University College London, London, United Kingdom; Institute for Physics of Living Systems, University College London, London, United Kingdom.
Glen M HockyJames Franck Institute, University of Chicago, Chicago, Illinois; Department of Chemistry, University of Chicago, Chicago, Illinois.
Aaron R DinnerJames Franck Institute, University of Chicago, Chicago, Illinois; Department of Chemistry, University of Chicago, Chicago, Illinois; Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois. Electronic address: dinner@uchicago.edu.
University of Chicago · USUniversity College London · GB

Funding

Computational studies of Arp2/3 activation and deactivationF32GM113415 · NIGMS · UNIVERSITY OF CHICAGO · PI HOCKY, GLEN · 2015 to 2017
$162k
NIGMS NIH HHS F32 GM113415
6 · The paper itself

Abstract

Computer simulations can aid in understanding how collective materials properties emerge from interactions between simple constituents. Here, we introduce a coarse-grained model that enables simulation of networks of actin filaments, myosin motors, and cross-linking proteins at biologically relevant time and length scales. We demonstrate that the model qualitatively and quantitatively captures a suite of trends observed experimentally, including the statistics of filament fluctuations, and mechanical responses to shear, motor motilities, and network rearrangements. We use the simulation to predict the viscoelastic scaling behavior of cross-linked actin networks, characterize the trajectories of actin in a myosin motility assay, and develop order parameters to measure contractility of a simulated actin network. The model can thus serve as a platform for interpretation and design of cytoskeletal materials experiments, as well as for further development of simulations incorporating active elements.

Indexed as

Molecular Dynamics SimulationActin CytoskeletonActinsAnimalsBiomechanical PhenomenaModels, BiologicalMonte Carlo MethodMyosinsNonlinear DynamicsViscoelastic SubstancesActinsMyosinsViscoelastic Substances

Identifiers

PMID28746855
PMCPMC5529201
OpenAlexW2521600174

What OpenQuestion holds

Textmetadata
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.