Evidence map›Paper›PMID 22912566›Full record

ArticlePLoS computational biology2012

Hybrid models and biological model reduction with PyDSTool.

Robert Clewley

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Pericytes enable effective angiogenesis in the presence of proinflammatory signals.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Working Memory and Decision-Making in a Frontoparietal Circuit Model.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  14. Article
  15. Article
  16. Is realistic neuronal modeling realistic?Journal of neurophysiology · 2016
    Review
  17. Reproducibility in Computational Neuroscience Models and Simulations.IEEE transactions on bio-medical engineering · 2016
    Article
  18. Article
  19. Article
  20. An ecocultural model predicts Neanderthal extinction through competition with modern humans.Proceedings of the National Academy of Sciences of the United States of America · 2016
    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

1 author.

Robert ClewleyNeuroscience Institute, Georgia State University, Atlanta, Georgia, United States of America. rclewley@gsu.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The PyDSTool software environment is designed to develop, simulate, and analyze dynamical systems models, particularly for biological applications. Unlike the engineering application focus and graphical specification environments of most general purpose simulation tools, PyDSTool provides a programmatic environment well suited to exploratory data- and hypothesis-driven biological modeling problems. In this work, we show how the environment facilitates the application of hybrid dynamical modeling to the reverse engineering of complex biophysical dynamics; in this case, of an excitable membrane. The example demonstrates how the software provides novel tools that support the inference and validation of mechanistic hypotheses and the inclusion of data constraints in both quantitative and qualitative ways. The biophysical application is broadly relevant to models in the biosciences. The open source and platform-independent PyDSTool package is freely available under the BSD license from http://sourceforge.net/projects/pydstool/. The hosting service provides links to documentation and online forums for user support.

Indexed as

Models, BiologicalBiophysics

Identifiers

PMID22912566
PMCPMC3415397

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.