Evidence map›Paper›PMID 23549147›Full record

ArticleClinical pharmacology and therapeutics2013

A cell simulator platform: the cell collective.

T Helikar, B Kowal, J A Rogers

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Normalizing Input-Output Relationships of Cancer Networks for Reversion Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  4. Article
  5. Review
  6. The nonlinearity of regulation in biological networks.NPJ systems biology and applications · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Emerging whole-cell modeling principles and methods.Current opinion in biotechnology · 2018
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  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

3 authors.

T HelikarDepartment of Mathematics, University of Nebraska at Omaha, Omaha, Nebraska, USA. thelikar@unomaha.edu
B Kowal
J A Rogers

Funding

Transcriptional Regulation, the Nuclear Proteome, and HIV/Meth/cART: From ProfiliR01DA030962 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CIBOROWSKI, PAWEL S, FOX, HOWARD S · 2010 to 2014
$3.1M
NIDA NIH HHS 5R01DA030962NIDA NIH HHS R01 DA030962
6 · The paper itself

Abstract

Diseases are often a result of multiple malfunctions in complex, nonlinear biological/biochemical networks. As such, these processes are far more complicated to understand because they tend to give rise to functions that are emergent in nature, i.e., higher-level (mal)functions that are more than the sum of their parts. Systems biology provides a new approach to understanding biological systems and diseases from a holistic perspective.

Indexed as

Holistic HealthCellsCrowdsourcingHumansMetabolic Networks and PathwaysModels, BiologicalSystems Biology

Identifiers

PMID23549147
PMCPMC5242230

What OpenQuestion holds

Textmetadata
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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.