ArticlePLoS computational biology2016
MEDYAN: Mechanochemical Simulations of Contraction and Polarity Alignment in Actomyosin Networks.
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.
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.
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.
Who cites it
60 citing papers in PubMed, 115 citations in OpenAlex.
- Rapid actin filament turnover maintains cortical connectivity while allowing for cell cortex deformation and flow.bioRxiv : the preprint server for biology · 2026Article
- Membrane curvature initiates Cdc42-FBP17-N-WASP clustering and actin nucleation.The EMBO journal · 2026Article
- Actin network heterogeneity tunes activator-inhibitor dynamics at the cell cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Form and function in biological filaments: a physicist's review.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- Engineering filamentous myosins for optical control of contractility.bioRxiv : the preprint server for biology · 2025Article
- Polarity sorting of actin filaments by motor-driven cargo transport.Biophysical journal · 2025Article
- Article
- Exploring effects of platelet contractility on the kinetics, thermodynamics, and mechanisms of fibrin clot contraction.npj biological physics and mechanics · 2025Article
- How to build the virtual cell with artificial intelligence: Priorities and opportunities.Cell · 2024Article
- Morphometric analysis of actin networks.Molecular biology of the cell · 2024Article
- How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.ArXiv · 2024Article
- Growth-induced collective bending and kinetic trapping of cytoskeletal filaments.Cytoskeleton (Hoboken, N.J.) · 2024Article
- Discrete network models of endothelial cells and their interactions with the substrate.Biomechanics and modeling in mechanobiology · 2024Article
- 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 · 2024Article
- Growth-induced collective bending and kinetic trapping of cytoskeletal filaments.bioRxiv : the preprint server for biology · 2024Article
- SimService: a lightweight library for building simulation services in Python.Bioinformatics (Oxford, England) · 2024Article
- Building the next generation of virtual cells to understand cellular biology.Biophysical journal · 2023Review
- Computational model of integrin adhesion elongation under an actin fiber.PLoS computational biology · 2023Article
- A unified model for the dynamics of ATP-independent ultrafast contraction.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A new view of axon growth and guidance grounded in the stochastic dynamics of actin networks.Open biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.