Evidence map›Paper›PMID 20161495›Full record

ArticleComputers & chemical engineering2009

NETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.

P T Foteinou, E Yang, I P Androulakis

Abstract read
In one paragraph

Article in Computers & chemical engineering, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. A Systems Engineering Perspective on Homeostasis and Disease.Frontiers in bioengineering and biotechnology · 2013
    Review
  7. Article
  8. Sepsis: from pattern to mechanism and back.Critical reviews in biomedical engineering · 2012
    Review
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.

P T FoteinouBiomedical Engineering Department, Rutgers University, 599 Taylor Road Piscataway, NJ 08854.
E Yang
I P Androulakis

Funding

Bioinformatics Analysis of Control Mechanisms of HypermetabolismR01GM082974 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI ANDROULAKIS, IOANNIS P · 2008 to 2011
$1.6M
NIGMS NIH HHS R01 GM082974
6 · The paper itself

Abstract

Biological systems can be modeled as networks of interacting components across multiple scales. A central problem in computational systems biology is to identify those critical components and the rules that define their interactions and give rise to the emergent behavior of a host response. In this paper we will discuss two fundamental problems related to the construction of transcription factor networks and the identification of networks of functional modules describing disease progression. We focus on inflammation as a key physiological response of clinical and translational importance.

Identifiers

PMID20161495
PMCPMC2796781

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.