Evidence map›Paper›PMID 29303160›Full record

ArticleSymposium on Theory of Modeling & Simulation : DEVS Integrative M&S Symposium (TMS-DEVS). Symposium on Theory of Modeling and Simulation2017

A MODELING AND SIMULATION LANGUAGE FOR BIOLOGICAL CELLS WITH COUPLED MECHANICAL AND CHEMICAL PROCESSES.

Endre Somogyi, James A Glazier

Abstract read
In one paragraph

Article in Symposium on Theory of Modeling & Simulation : DEVS Integrative M&S Symposium (TMS-DEVS). Symposium on Theory of Modeling and Simulation, 2017. 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

2 authors.

Endre SomogyiDepartment of Computer Science, Indiana University, Bloomington, IN 47405.
James A GlazierDepartment of Intelligent Systems Engineering, Biocomplexity Institute, Indiana University, Bloomington, IN 47405.

Funding

MSM - Multiscale Studies of Segmentation in Vertebrate *R01GM076692 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER, STERN, CLAUDIO D · 2005 to 2015
$5.5M
Development and Improvement of Tissue Simulation ToolkitR01GM077138 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI D'SOUZA, ROSHAN M, GLAZIER, JAMES ALEXANDER · 2007 to 2015
$4.0M
Development of a Multiscale Mechanistic Simulation of Acetaminophen Induced LiverU01GM111243 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI DUNN, KENNETH W, GLAZIER, JAMES ALEXANDER · 2014 to 2017
$2.1M
Competitive Renewal of Development, Improvement and Extension of the Tissue Simulation Environment - CompuCell3DR01GM122424 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER · 2017 to 2020
$1.7M
NIGMS NIH HHS R01 GM076692NIGMS NIH HHS R01 GM077138NIGMS NIH HHS R01 GM122424NIGMS NIH HHS U01 GM111243
6 · The paper itself

Abstract

Biological cells are the prototypical example of active matter. Cells sense and respond to mechanical, chemical and electrical environmental stimuli with a range of behaviors, including dynamic changes in morphology and mechanical properties, chemical uptake and secretion, cell differentiation, proliferation, death, and migration. Modeling and simulation of such dynamic phenomena poses a number of computational challenges. A modeling language describing cellular dynamics must naturally represent complex intra and extra-cellular spatial structures and coupled mechanical, chemical and electrical processes. Domain experts will find a modeling language most useful when it is based on concepts, terms and principles native to the problem domain. A compiler must then be able to generate an executable model from this physically motivated description. Finally, an executable model must efficiently calculate the time evolution of such dynamic and inhomogeneous phenomena. We present a spatial hybrid systems modeling language, compiler and mesh-free Lagrangian based simulation engine which will enable domain experts to define models using natural, biologically motivated constructs and to simulate time evolution of coupled cellular, mechanical and chemical processes acting on a time varying number of cells and their environment.

Indexed as

Biological Systems ModelingSimulationSpatial Hybrid Systems

Identifiers

PMID29303160
PMCPMC5749416

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.