Evidence map›Paper›PMID 22697237›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2012

A computational approach to increase time scales in Brownian dynamics-based reaction-diffusion modeling.

Zachary Frazier, Frank Alber

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Mechanistic dissection of spatial organization in NF-κB signaling pathways by hybrid simulations.Integrative biology : quantitative biosciences from nano to macro · 2021
    Article
  6. Article
  7. Article
  8. Multiscale simulation unravel the kinetic mechanisms of inflammasome assembly.Biochimica et biophysica acta. Molecular cell research · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  16. Review
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  19. Article
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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

2 authors.

Zachary FrazierProgram in Molecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.
Frank Alber

Funding

NEW TOOLS FOR EXPLORING THE DYNAMIC INTERACTOME(RMI)U54RR022220 · NCRR · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2005 to 2011
$19.3M
New Tools for Exploring the Dynamic Interactome (Renewal)U54GM103511 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2012 to 2013
$6.2M
Computational Methods Towards the Spatio-Temporal Organization of the ProteomeR01GM096089 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ALBER, FRANK · 2011 to 2015
$1.6M
NCRR NIH HHS 2U54RR022220NIGMS NIH HHS 1R01GM096089NIGMS NIH HHS R01 GM096089NIGMS NIH HHS U54 GM103511
6 · The paper itself

Abstract

Particle-based Brownian dynamics simulations offer the opportunity to not only simulate diffusion of particles but also the reactions between them. They therefore provide an opportunity to integrate varied biological data into spatially explicit models of biological processes, such as signal transduction or mitosis. However, particle based reaction-diffusion methods often are hampered by the relatively small time step needed for accurate description of the reaction-diffusion framework. Such small time steps often prevent simulation times that are relevant for biological processes. It is therefore of great importance to develop reaction-diffusion methods that tolerate larger time steps while maintaining relatively high accuracy. Here, we provide an algorithm, which detects potential particle collisions prior to a BD-based particle displacement and at the same time rigorously obeys the detailed balance rule of equilibrium reactions. We can show that for reaction-diffusion processes of particles mimicking proteins, the method can increase the typical BD time step by an order of magnitude while maintaining similar accuracy in the reaction diffusion modelling.

Indexed as

AlgorithmsComputational BiologyDiffusionModels, ChemicalMolecular Dynamics SimulationProteinsTime FactorsProteins

Identifiers

PMID22697237
PMCPMC3375646

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.