Evidence map›Paper›PMID 20151023›Full record

ArticleSIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics2008

FAST MONTE CARLO SIMULATION METHODS FOR BIOLOGICAL REACTION-DIFFUSION SYSTEMS IN SOLUTION AND ON SURFACES.

Rex A Kerr, Thomas M Bartol, Boris Kaminsky, Markus Dittrich, Jen-Chien Jack Chang, Scott B Baden, Terrence J Sejnowski, Joel R Stiles

Abstract read
In one paragraph

Article in SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers.

0numbers the graph read from it
0cells of the map it votes in
183citing 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

183 citing papers in PubMed.

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  10. PyReconstruct: A fully open-source, collaborative successor to Reconstruct.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  15. Article
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  19. A spatial model of autophosphorylation of CabioRxiv : the preprint server for biology · 2024
    Article
  20. Article

123 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

8 authors.

Rex A KerrHHMI Janelia Farm Research Campus, Ashburn, VA 20147 and Computational Neurobiology Laboratory, The Salk Institute, La Jolla, CA 92037. This author was supported by grants NIH R01 GM069630, NIH P01-NS044306, NSF PHY-0216576, and PHY-0225630 and by HHMI.
Thomas M Bartol
Boris Kaminsky
Markus Dittrich
Jen-Chien Jack Chang
Scott B Baden
Terrence J Sejnowski
Joel R Stiles

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Many important physiological processes operate at time and space scales far beyond those accessible to atom-realistic simulations, and yet discrete stochastic rather than continuum methods may best represent finite numbers of molecules interacting in complex cellular spaces. We describe and validate new tools and algorithms developed for a new version of the MCell simulation program (MCell3), which supports generalized Monte Carlo modeling of diffusion and chemical reaction in solution, on surfaces representing membranes, and combinations thereof. A new syntax for describing the spatial directionality of surface reactions is introduced, along with optimizations and algorithms that can substantially reduce computational costs (e.g., event scheduling, variable time and space steps). Examples for simple reactions in simple spaces are validated by comparison to analytic solutions. Thus we show how spatially realistic Monte Carlo simulations of biological systems can be far more cost-effective than often is assumed, and provide a level of accuracy and insight beyond that of continuum methods.

Identifiers

PMID20151023
PMCPMC2819163

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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.