Evidence map›Paper›PMID 19910670›Full record

ArticlePhysical biology2009

Accurate particle-based simulation of adsorption, desorption and partial transmission.

Steven S Andrews

Abstract read
In one paragraph

Article in Physical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Modeling Diffusion Between Regions with Different Diffusion Coefficients.IEEE transactions on molecular, biological, and multi-scale communications · 2024
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  8. A computational approach to increase time scales in Brownian dynamics-based reaction-diffusion modeling.Journal of computational biology : a journal of computational molecular cell biology · 2012
    Article
  9. Article
  10. Sequestration of CaMKII in dendritic spines in silico.Journal of computational neuroscience · 2011
    Article
  11. 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

1 author.

Steven S AndrewsMolecular Sciences Institute, 2168 Shattuck Avenue, Berkeley, CA 94704, USA. Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, WA 98109, USA. sandrews@fhcrc.org

Funding

SIMULATION METHODS-PREDICITNG REGULATORY SYSTEM BEHAVIORP50HG002370 · NHGRI · VTT/MSI MOLECULAR SCIENCES INSTITUTE · PI BRENT, ROGER · 2002 to 2007
$21.5M
Dynamics of gradient sensing in single cellsR01GM097479 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRENT, ROGER · 2011 to 2014
$2.1M
NHGRI NIH HHS P50 HG002370NIGMS NIH HHS R01 GM097479
6 · The paper itself

Abstract

Particle-based simulators represent molecules of interest with point-like particles that diffuse and react in continuous space. These simulators are often used to investigate spatial or stochastic aspects of biochemical systems. This paper presents new particle-based simulation algorithms for modeling interactions between molecules and surfaces; they address irreversible and reversible molecular adsorption to, desorption from and transmission through membranes. Their central elements are: (i) relationships between adsorption, desorption and transmission coefficients on the one hand, and simulator interaction probabilities on the other, and (ii) probability densities for initial placements of desorbed molecules. These algorithms, which were implemented and tested in the Smoldyn simulator, are accurate, easy to implement and computationally efficient. They allow longer time steps and better address reversible processes than an algorithm that Erban and Chapman recently presented (Physical Biology 4:16-28, 2007). This paper also presents a method for simulating unbounded diffusion in a limited spatial domain using a partially absorbing boundary, as well as new solutions to the diffusion differential equation with reversible Robin boundary conditions.

Indexed as

Computer SimulationModels, ChemicalAdsorptionAlgorithmsProbabilityStochastic ProcessesSurface Properties

Identifiers

PMID19910670
PMCPMC2847898

What OpenQuestion holds

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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.