Evidence map›Paper›PMID 33324679›Full record

ArticleFrontiers in molecular biosciences2020

ReCodLiver0.9: Overcoming Challenges in Genome-Scale Metabolic Reconstruction of a Non-model Species.

Eileen Marie Hanna, Xiaokang Zhang, Marta Eide, Shirin Fallahi, Tomasz Furmanek, Fekadu Yadetie, Daniel Craig Zielinski, Anders Goksøyr, Inge Jonassen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. 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
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Metabolic modeling of host-microbe interactions.Computational and structural biotechnology journal · 2025
    Review
  3. Review
  4. Metabolic network reconstruction ofFrontiers in microbiology · 2023
    Review
  5. Article
  6. Review
  7. Article
  8. 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

9 authors at 4 institutions in 3 countries.

Eileen Marie HannaDepartment of Computer Science and Mathematics, Lebanese American University, Byblos, Lebanon.
Xiaokang ZhangComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Marta EideDepartment of Biological Sciences, University of Bergen, Bergen, Norway.
Shirin FallahiDepartment of Mathematics, University of Bergen, Bergen, Norway.
Tomasz FurmanekInstitute of Marine Research, Bergen, Norway.
Fekadu YadetieDepartment of Biological Sciences, University of Bergen, Bergen, Norway.
Daniel Craig ZielinskiDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, United States.
Anders GoksøyrDepartment of Biological Sciences, University of Bergen, Bergen, Norway.
Inge JonassenComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
University of Bergen · NOLebanese American University · LBNorwegian Institute of Marine Research · NOUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of genome sequences, annotations, and knowledge of the biochemistry underlying metabolic transformations has led to the generation of metabolic network reconstructions for a wide range of organisms in bacteria, archaea, and eukaryotes. When modeled using mathematical representations, a reconstruction can simulate underlying genotype-phenotype relationships. Accordingly, genome-scale metabolic models (GEMs) can be used to predict the response of organisms to genetic and environmental variations. A bottom-up reconstruction procedure typically starts by generating a draft model from existing annotation data on a target organism. For model species, this part of the process can be straightforward, due to the abundant organism-specific biochemical data. However, the process becomes complicated for non-model less-annotated species. In this paper, we present a draft liver reconstruction, ReCodLiver0.9, of Atlantic cod (

Indexed as

Atlantic codenvironmental toxicologygenome-scale metabolic reconstructionless-annotated speciesmodel curation

Identifiers

PMID33324679
PMCPMC7726423
OpenAlexW3109165972

What OpenQuestion holds

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LicenceCC BY
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.