Evidence map›Paper›PMID 19045830›Full record

ArticleIET systems biology2008

Virtual Cell modelling and simulation software environment.

I I Moraru, J C Schaff, B M Slepchenko, M L Blinov, F Morgan, A Lakshminarayana, F Gao, Y Li, L M Loew

Abstract read
In one paragraph

Article in IET systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

108 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. bnglViz: online visualization of rule-based models.Bioinformatics (Oxford, England) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Integrative modeling of the cell.Acta biochimica et biophysica Sinica · 2022
    Review
  17. Article
  18. The Role ofFrontiers in digital health · 2022
    Review
  19. Article
  20. Bayesian metamodeling of complex biological systems across varying representations.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article

48 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

9 authors.

I I MoraruUniversity of Connecticut Health Center, Center of Cell Analysis and Modeling, Connecticut, CA 06030, USA.
J C Schaff
B M Slepchenko
M L Blinov
F Morgan
A Lakshminarayana
F Gao
Y Li
L M Loew

Funding

STRUCTUREU54GM064346 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI IMPERIALI, BARBARA · 2001 to 2010
$74.9M
VIRTUAL FCSP41RR013186 · NCRR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 1998 to 2011
$14.2M
POLARITY IN NETWORKS AND PATHWAYS(RMI)U54RR022232 · NCRR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 2005 to 2009
$12.9M
NCRR NIH HHS P41 RR013186NCRR NIH HHS P41RR013186NCRR NIH HHS U54 RR022232NCRR NIH HHS U54RR022232NIGMS NIH HHS U54 GM064346
6 · The paper itself

Abstract

The Virtual Cell (VCell; http://vcell.org/) is a problem solving environment, built on a central database, for analysis, modelling and simulation of cell biological processes. VCell integrates a growing range of molecular mechanisms, including reaction kinetics, diffusion, flow, membrane transport, lateral membrane diffusion and electrophysiology, and can associate these with geometries derived from experimental microscope images. It has been developed and deployed as a web-based, distributed, client-server system, with more than a thousand world-wide users. VCell provides a separation of layers (core technologies and abstractions) representing biological models, physical mechanisms, geometry, mathematical models and numerical methods. This separation clarifies the impact of modelling decisions, assumptions and approximations. The result is a physically consistent, mathematically rigorous, spatial modelling and simulation framework. Users create biological models and VCell will automatically (i) generate the appropriate mathematical encoding for running a simulation and (ii) generate and compile the appropriate computer code. Both deterministic and stochastic algorithms are supported for describing and running non-spatial simulations; a full partial differential equation solver using the finite volume numerical algorithm is available for reaction-diffusion-advection simulations in complex cell geometries including 3D geometries derived from microscope images. Using the VCell database, models and model components can be reused and updated, as well as privately shared among collaborating groups, or published. Exchange of models with other tools is possible via import/export of SBML, CellML and MatLab formats. Furthermore, curation of models is facilitated by external database binding mechanisms for unique identification of components and by standardised annotations compliant with the MIRIAM standard. VCell is now open source, with its native model encoding language (VCML) being a public specification, which stands as the basis for a new generation of more customised, experiment-centric modelling tools using a new plug-in based platform.

Indexed as

Databases, FactualModels, BiologicalSoftwareUser-Computer InterfaceComputer SimulationInformation Storage and RetrievalProgramming LanguagesProteomeSignal TransductionProteome

Identifiers

PMID19045830
PMCPMC2711391

What OpenQuestion holds

Textmetadata
LicenceTDM
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.