Evidence map›Paper›PMID 21943909›Full record

ArticleMethods in enzymology2011

Whole-genome metabolic network reconstruction and constraint-based modeling.

Charles R Haggart, Jennifer A Bartell, Jeffrey J Saucerman, Jason A Papin

Abstract read
In one paragraph

Article in Methods in enzymology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Frontiers in genetics · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Big Data Analytics in Healthcare.BioMed research international · 2015
    Review
  15. Article
  16. Review
  17. Multiscale computational models of complex biological systems.Annual review of biomedical engineering · 2013
    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

4 authors.

Charles R HaggartDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Jennifer A Bartell
Jeffrey J Saucerman
Jason A Papin

Funding

BASIC CARDIOVASCULAR RESEARCH TRAINING GRANTT32HL007284 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Brant E Isakson, Gary K Owens · 1985 to 2026
$19.6M
Network Analysis of Pathogenicity in Pseudomonas aeruginosaR01GM088244 · NIGMS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON · 2010 to 2014
$1.5M
NHLBI NIH HHS HL007284-33NHLBI NIH HHS T32 HL007284NIGMS NIH HHS GM088244NIGMS NIH HHS R01 GM088244
6 · The paper itself

Abstract

With the advent of modern high-throughput genomics, there is a significant need for genome-scale analysis techniques that can assist in complex systems analysis. Metabolic genome-scale network reconstructions (GENREs) paired with constraint-based modeling are an efficient method to integrate genomics, transcriptomics, and proteomics to conduct organism-specific analysis. This text explains key steps in the GENRE construction process and several methods of constraint-based modeling that can help elucidate basic life processes and development of disease treatment, bioenergy solutions, and industrial bioproduction applications.

Indexed as

Computer SimulationModels, BiologicalAlgorithmsAnimalsBayes TheoremDatabases, GeneticGene Expression ProfilingGenome, HumanHumansMetabolic Networks and PathwaysSystems Biology

Identifiers

PMID21943909
PMCPMC3361743

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.