Evidence map›Paper›PMID 41787806›Full record

ArticleBiophysical journal2026

Viscoelasticity analysis of coarse-grained cytoskeletal simulations with Cytosim and Cytocalc.

Krishna Iyer V S, Komal Bhattacharyya, Raffaele Mendozza, Peter K Sollich, Stefan Klumpp, Yoav G Pollack

Abstract read
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Krishna Iyer V SUniversity of Göttingen, Institute for the Dynamics of Complex Systems, 37077 Göttingen, Germany; Indian Institute of Science Education and Research, Department of Physics, Pune, India.
Komal BhattacharyyaUniversity of Göttingen, Institute for the Dynamics of Complex Systems, 37077 Göttingen, Germany. Electronic address: komal.bhattacharyya@uni-goettingen.de.
Raffaele MendozzaUniversity of Göttingen, Institute for Theoretical Physics, 37077 Göttingen, Germany.
Peter K SollichUniversity of Göttingen, Institute for Theoretical Physics, 37077 Göttingen, Germany; King's College London, Department of Mathematics, Strand, London WC2R 2LS, UK.
Stefan KlumppUniversity of Göttingen, Institute for the Dynamics of Complex Systems, 37077 Göttingen, Germany.
Yoav G PollackUniversity of Göttingen, Institute for the Dynamics of Complex Systems, 37077 Göttingen, Germany. Electronic address: yoavpol@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational modeling has emerged as a powerful approach to studying cytoskeletal dynamics. The simulation software Cytosim provides intuitive yet flexible simulations of filament polymerization, cross-linking, and motor activity. Here, we present Cytocalc, a lightweight Python toolkit designed to streamline and standardize the analysis of Cytosim simulation output, supporting studies of biological functionality and physical properties of cytoskeletal systems. After introducing Cytocalc and validating it, we use it to establish a new workflow for quantifying network viscoelasticity from Cytosim simulations. Specifically, we determine the complex shear modulus of cross-linked networks and quantify how the storage modulus increases with cross-linker density. The cross-linker dependence of the network's elasticity exhibits two regimes, a scaling regime consistent with elasticity arising from the suppression of thermal bending fluctuations of filaments as well as a much weaker dependence at high cross-linker concentration.

Indexed as

CytoskeletonElasticitySoftwareComputer SimulationViscosity

Identifiers

PMID41787806
PMCPMC13351658

What OpenQuestion holds

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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.