Evidence map›Paper›PMID 28655634›Full record

ReviewJournal of biotechnology2017

COPASI and its applications in biotechnology.

Frank T Bergmann, Stefan Hoops, Brian Klahn, Ursula Kummer, Pedro Mendes, Jürgen Pahle, Sven Sahle

Abstract readReview
In one paragraph

Review in Journal of biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

  1. Guideline
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Coupling Rotary Motion to Helicene Inversion within a Molecular Motor.Angewandte Chemie (International ed. in English) · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Machine Learning and Hybrid Methods for Metabolic Pathway Modeling.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
  17. Article
  18. Article
  19. Review
  20. 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

7 authors.

Frank T BergmannBioQuant/COS, Heidelberg University, Heidelberg, Germany. Electronic address: frank.bergmann@bioquant.uni-heidelberg.de.
Stefan HoopsBiocomplexity Institute of Virginia Tech, Blacksburg, VA, USA.
Brian KlahnBiocomplexity Institute of Virginia Tech, Blacksburg, VA, USA.
Ursula KummerBioQuant/COS, Heidelberg University, Heidelberg, Germany.
Pedro MendesCenter for Quantitative Medicine, UConn Health, Farmington, CT, USA.
Jürgen PahleBIOMS/BioQuant, Heidelberg University, Heidelberg, Germany.
Sven SahleBioQuant/COS, Heidelberg University, Heidelberg, Germany.

Funding

COPASI software for modeling and simulation of biochemical networksR01GM080219 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HOOPS, STEFAN, MENDES, PEDRO · 2007 to 2019
$5.4M
NIGMS NIH HHS R01 GM080219
6 · The paper itself

Abstract

COPASI is software used for the creation, modification, simulation and computational analysis of kinetic models in various fields. It is open-source, available for all major platforms and provides a user-friendly graphical user interface, but is also controllable via the command line and scripting languages. These are likely reasons for its wide acceptance. We begin this review with a short introduction describing the general approaches and techniques used in computational modeling in the biosciences. Next we introduce the COPASI package, and its capabilities, before looking at typical applications of COPASI in biotechnology.

Indexed as

BiotechnologySoftwareSystems BiologyKineticsModels, BiologicalBiotechnologyCOPASISystems biology

Identifiers

PMID28655634
PMCPMC5623632

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.