Evidence map›Paper›PMID 20300644›Full record

ArticlePLoS computational biology2010

Detailed simulations of cell biology with Smoldyn 2.1.

Steven S Andrews, Nathan J Addy, Roger Brent, Adam P Arkin

Abstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing 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

147 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Quantifying the fitness contribution of phagocytosis.bioRxiv : the preprint server for biology · 2025
    Article
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Modeling Diffusion Between Regions with Different Diffusion Coefficients.IEEE transactions on molecular, biological, and multi-scale communications · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. On the formation of ordered protein assemblies in cell-cell interfaces.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. Article

87 more citing papers are in PubMed but not listed here.

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.

Steven S AndrewsPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America. sandrews@fhcrc.org
Nathan J Addy
Roger Brent
Adam P Arkin

Funding

Dynamics of gradient sensing in single cellsR01GM097479 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRENT, ROGER · 2011 to 2014
$2.1M
NIGMS NIH HHS R01 GM097479
6 · The paper itself

Abstract

Most cellular processes depend on intracellular locations and random collisions of individual protein molecules. To model these processes, we developed algorithms to simulate the diffusion, membrane interactions, and reactions of individual molecules, and implemented these in the Smoldyn program. Compared to the popular MCell and ChemCell simulators, we found that Smoldyn was in many cases more accurate, more computationally efficient, and easier to use. Using Smoldyn, we modeled pheromone response system signaling among yeast cells of opposite mating type. This model showed that secreted Bar1 protease might help a cell identify the fittest mating partner by sharpening the pheromone concentration gradient. This model involved about 200,000 protein molecules, about 7000 cubic microns of volume, and about 75 minutes of simulated time; it took about 10 hours to run. Over the next several years, as faster computers become available, Smoldyn will allow researchers to model and explore systems the size of entire bacterial and smaller eukaryotic cells.

Indexed as

AlgorithmsModels, BiologicalSoftwareComputer SimulationProteomeSignal TransductionProteome

Identifiers

PMID20300644
PMCPMC2837389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.