Evidence map›Paper›PMID 32986834›Full record

ArticleNucleic acids research2021

The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes.

Samuel M D Seaver, Filipe Liu, Qizhi Zhang, James Jeffryes, José P Faria, Janaka N Edirisinghe, Michael Mundy, Nicholas Chia, Elad Noor, Moritz E Beber and 12 more

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing 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

137 citing papers in PubMed.

  1. Bridging the gap:Gut microbes · 2026
    Review
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  3. Article
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  8. Nutrient control enables metabolic reconstruction ofbioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Reconstruction of human metabolic models with large language models.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. LumbriCyc: towards metabolic modelling of earthworms.NPJ systems biology and applications · 2026
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Samuel M D SeaverComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, USA.
Filipe LiuComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, USA.
Qizhi ZhangComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, USA.
James JeffryesComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, USA.
José P FariaComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, USA.
Janaka N EdirisingheComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, USA.
Michael MundyCenter for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Nicholas ChiaCenter for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Elad NoorDepartment of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich, CH-8093 Zürich, Switzerland.
Moritz E BeberNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, 2800, Denmark.
Aaron A BestDepartment of Biology, Hope College, Holland, MI 49423, USA.
Matthew DeJonghDepartment of Computer Science, Hope College, Holland, MI 49423, USA.
Jeffrey A KimbrelBiosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Patrik D'haeseleerBiosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Sean R McCorkleComputational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA.
Jay R BoltonEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Erik PearsonEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Shane CanonEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Elisha M Wood-CharlsonEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Robert W CottinghamBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Adam P ArkinEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Christopher S HenryComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, USA.

Funding

Microbial Metabolic Toxicity Drives Colon CancerR01CA179243 · NCI · MAYO CLINIC ROCHESTER · PI CHIA, NICHOLAS · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA179243
6 · The paper itself

Abstract

For over 10 years, ModelSEED has been a primary resource for the construction of draft genome-scale metabolic models based on annotated microbial or plant genomes. Now being released, the biochemistry database serves as the foundation of biochemical data underlying ModelSEED and KBase. The biochemistry database embodies several properties that, taken together, distinguish it from other published biochemistry resources by: (i) including compartmentalization, transport reactions, charged molecules and proton balancing on reactions; (ii) being extensible by the user community, with all data stored in GitHub; and (iii) design as a biochemical 'Rosetta Stone' to facilitate comparison and integration of annotations from many different tools and databases. The database was constructed by combining chemical data from many resources, applying standard transformations, identifying redundancies and computing thermodynamic properties. The ModelSEED biochemistry is continually tested using flux balance analysis to ensure the biochemical network is modeling-ready and capable of simulating diverse phenotypes. Ontologies can be designed to aid in comparing and reconciling metabolic reconstructions that differ in how they represent various metabolic pathways. ModelSEED now includes 33,978 compounds and 36,645 reactions, available as a set of extensible files on GitHub, and available to search at https://modelseed.org/biochem and KBase.

Indexed as

Databases, FactualMetabolic Networks and PathwaysMolecular Sequence AnnotationBacteriaFungiGenome, BacterialPlantsThermodynamics

Identifiers

PMID32986834
PMCPMC7778927

What OpenQuestion holds

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LicenceCC BY-NC
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.