Evidence map›Paper›PMID 34282017›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Genome-scale metabolic network reconstruction of model animals as a platform for translational research.

Hao Wang, Jonathan L Robinson, Pinar Kocabas, Johan Gustafsson, Mihail Anton, Pierre-Etienne Cholley, Shan Huang, Johan Gobom, Thomas Svensson, Mattias Uhlen and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 2% of its field
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

77 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dynamic metabolic modelling of ATP allocation during viral infection.Journal of the Royal Society, Interface · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 3 countries.

Hao WangDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.ORCID 0000-0001-7475-0136
Jonathan L RobinsonDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.ORCID 0000-0001-8567-5960
Pinar KocabasDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.ORCID 0000-0001-9788-2019
Johan GustafssonDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.ORCID 0000-0001-5072-2659
Mihail AntonDepartment of Biology and Biological Engineering, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.ORCID 0000-0002-7753-9042
Pierre-Etienne CholleyDepartment of Biology and Biological Engineering, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.
Shan HuangDepartment of Biology and Biological Engineering, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.
Johan GobomDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, 431 30 Mölndal, Sweden.
Thomas SvenssonDepartment of Biology and Biological Engineering, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.ORCID 0000-0002-9190-2979
Mattias UhlenNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, 431 30 Mölndal, Sweden.ORCID 0000-0003-3930-4354
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden; nielsenj@chalmers.se.ORCID 0000-0002-9955-6003
Science for Life Laboratory · SEChalmers University of Technology · SENovo Nordisk Foundation · DKSahlgrenska University Hospital · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-scale metabolic models (GEMs) are used extensively for analysis of mechanisms underlying human diseases and metabolic malfunctions. However, the lack of comprehensive and high-quality GEMs for model organisms restricts translational utilization of omics data accumulating from the use of various disease models. Here we present a unified platform of GEMs that covers five major model animals, including Mouse1 (

Indexed as

Disease Models, AnimalGene Regulatory NetworksMetabolic Networks and PathwaysProteomeTranscriptomeAlzheimer DiseaseAnimalsBiomarkersCaenorhabditis elegansDrosophila melanogasterGenomeHumansMiceMice, TransgenicRatsZebrafishBiomarkersProteomeAlzheimer’s diseaseanimal modelAβ depositiongenome-scale modeltranslational medicine

Identifiers

PMID34282017
PMCPMC8325244
OpenAlexW3183463549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.