Evidence map›Paper›PMID 27120189›Full record

ArticlePLoS computational biology2016

MEDYAN: Mechanochemical Simulations of Contraction and Polarity Alignment in Actomyosin Networks.

Konstantin Popov, James Komianos, Garegin A Papoian

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 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
4.9field-weighted citation impact, top 5% 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

60 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
  2. Article
  3. Actin network heterogeneity tunes activator-inhibitor dynamics at the cell cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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. Article
  14. 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
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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
  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

3 authors at 1 institution in 1 country.

Konstantin PopovDepartment of Chemistry and Biochemistry, University of Maryland, College Park, Maryland, United States of America.
James KomianosDepartment of Chemistry and Biochemistry, University of Maryland, College Park, Maryland, United States of America.ORCID http://orcid.org/0000-0003-0959-2535
Garegin A PapoianDepartment of Chemistry and Biochemistry, University of Maryland, College Park, Maryland, United States of America.
University of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active matter systems, and in particular the cell cytoskeleton, exhibit complex mechanochemical dynamics that are still not well understood. While prior computational models of cytoskeletal dynamics have lead to many conceptual insights, an important niche still needs to be filled with a high-resolution structural modeling framework, which includes a minimally-complete set of cytoskeletal chemistries, stochastically treats reaction and diffusion processes in three spatial dimensions, accurately and efficiently describes mechanical deformations of the filamentous network under stresses generated by molecular motors, and deeply couples mechanics and chemistry at high spatial resolution. To address this need, we propose a novel reactive coarse-grained force field, as well as a publicly available software package, named the Mechanochemical Dynamics of Active Networks (MEDYAN), for simulating active network evolution and dynamics (available at www.medyan.org). This model can be used to study the non-linear, far from equilibrium processes in active matter systems, in particular, comprised of interacting semi-flexible polymers embedded in a solution with complex reaction-diffusion processes. In this work, we applied MEDYAN to investigate a contractile actomyosin network consisting of actin filaments, alpha-actinin cross-linking proteins, and non-muscle myosin IIA mini-filaments. We found that these systems undergo a switch-like transition in simulations from a random network to ordered, bundled structures when cross-linker concentration is increased above a threshold value, inducing contraction driven by myosin II mini-filaments. Our simulations also show how myosin II mini-filaments, in tandem with cross-linkers, can produce a range of actin filament polarity distributions and alignment, which is crucially dependent on the rate of actin filament turnover and the actin filament's resulting super-diffusive behavior in the actomyosin-cross-linker system. We discuss the biological implications of these findings for the arc formation in lamellipodium-to-lamellum architectural remodeling. Lastly, our simulations produce force-dependent accumulation of myosin II, which is thought to be responsible for their mechanosensation ability, also spontaneously generating myosin II concentration gradients in the solution phase of the simulation volume.

Indexed as

Models, BiologicalSoftwareActomyosinAnimalsBiomechanical PhenomenaComputational BiologyComputer SimulationCytoskeletonHumansModels, MolecularMuscle ContractionNonlinear DynamicsStochastic ProcessesSystems BiologyActomyosin

Identifiers

PMID27120189
PMCPMC4847874
OpenAlexW2341109105

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.