Evidence map›Paper›PMID 27429432›Full record

ArticleIEEE transactions on bio-medical engineering2016

Guidelines for Reproducibly Building and Simulating Systems Biology Models.

J Kyle Medley, Arthur P Goldberg, Jonathan R Karr

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. A Practical Guide to Reproducible Modeling for Biochemical Networks.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Towards reproducible computational drug discovery.Journal of cheminformatics · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Emerging whole-cell modeling principles and methods.Current opinion in biotechnology · 2018
    Review
  16. Review
  17. 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

3 authors.

J Kyle Medley
Arthur P Goldberg
Jonathan R Karr

Funding

Toward whole-cell models for precision medicine and synthetic biologyR35GM119771 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KARR, JONATHAN ROSS · 2016 to 2020
$2.1M
Continued Development and Maintenance of the Systems Biology WorkbenchR01GM081070 · NIGMS · UNIVERSITY OF WASHINGTON · PI SAURO, HERBERT M. · 2007 to 2014
$1.7M
NIGMS NIH HHS R01 GM081070NIGMS NIH HHS R35 GM119771
6 · The paper itself

Abstract

objectiveReproducibility is the cornerstone of the scientific method. However, currently, many systems biology models cannot easily be reproduced. This paper presents methods that address this problem.

methodsWe analyzed the recent Mycoplasma genitalium whole-cell (WC) model to determine the requirements for reproducible modeling.

resultsWe determined that reproducible modeling requires both repeatable model building and repeatable simulation.

conclusionNew standards and simulation software tools are needed to enhance and verify the reproducibility of modeling. New standards are needed to explicitly document every data source and assumption, and new deterministic parallel simulation tools are needed to quickly simulate large, complex models. SIGNIFICANCE: We anticipate that these new standards and software will enable researchers to reproducibly build and simulate more complex models, including WC models.

Indexed as

Models, BiologicalComputer SimulationCytological TechniquesHumansMycoplasma genitaliumReproducibility of ResultsSystems Biology

Identifiers

PMID27429432
PMCPMC5131863

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.