Evidence map›Paper›PMID 22102576›Full record

ArticleNucleic acids research2012

The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.

Ron Caspi, Tomer Altman, Kate Dreher, Carol A Fulcher, Pallavi Subhraveti, Ingrid M Keseler, Anamika Kothari, Markus Krummenacker, Mario Latendresse, Lukas A Mueller and 8 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 299 papers.

0numbers the graph read from it
0cells of the map it votes in
299citing 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

299 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Increased abundance of Limosilactobacillus reuteri in the gut of selectively bred high-tameness mice and its association with behavioural changes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Magnesium and Migraine.Nutrients · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Mineral Supplements in Ageing.Sub-cellular biochemistry · 2024
    Review
  19. A new metabolic model ofLife science alliance · 2023
    Article
  20. Article

239 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

18 authors.

Ron CaspiSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA, USA.
Tomer Altman
Kate Dreher
Carol A Fulcher
Pallavi Subhraveti
Ingrid M Keseler
Anamika Kothari
Markus Krummenacker
Mario Latendresse
Lukas A Mueller
Quang Ong
Suzanne Paley
Anuradha Pujar
Alexander G Shearer
Michael Travers
Deepika Weerasinghe
Peifen Zhang
Peter D Karp

Funding

The MetaCyc & BioCyc Pathway/Genome Databases (SRI Proposal ECU 14-630)R01GM080746 · NIGMS · SRI INTERNATIONAL · PI CASPI, RON, KARP, PETER D · 2007 to 2021
$15.6M
The EcoCyc Model Organism Database for Escherichia coli [SRI Proposal ECU 14-631]U24GM077678 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2006 to 2018
$12.3M
Robust Software Components for Model Organism DatabasesR01GM075742 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2005 to 2019
$12.0M
The EcoCyc Model Organism Database for Escherichia coliR01GM077678 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2019 to 2022
$4.6M
EcoliHub2.0: A next-generation E. coli model organism resource (SRI Proposal ECU U24GM088849 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HU, JAMES C, SHERLOCK, GAVIN J · 2009 to 2012
$4.4M
NIGMS NIH HHS GM075742NIGMS NIH HHS GM077678NIGMS NIH HHS GM080746NIGMS NIH HHS GM088849NIGMS NIH HHS R01 GM075742NIGMS NIH HHS R01 GM077678NIGMS NIH HHS R01 GM080746NIGMS NIH HHS U24 GM077678NIGMS NIH HHS U24 GM088849
6 · The paper itself

Abstract

The MetaCyc database (http://metacyc.org/) provides a comprehensive and freely accessible resource for metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are experimentally determined, small-molecule metabolic pathways and are curated from the primary scientific literature. MetaCyc contains more than 1800 pathways derived from more than 30,000 publications, and is the largest curated collection of metabolic pathways currently available. Most reactions in MetaCyc pathways are linked to one or more well-characterized enzymes, and both pathways and enzymes are annotated with reviews, evidence codes and literature citations. BioCyc (http://biocyc.org/) is a collection of more than 1700 organism-specific Pathway/Genome Databases (PGDBs). Each BioCyc PGDB contains the full genome and predicted metabolic network of one organism. The network, which is predicted by the Pathway Tools software using MetaCyc as a reference database, consists of metabolites, enzymes, reactions and metabolic pathways. BioCyc PGDBs contain additional features, including predicted operons, transport systems and pathway-hole fillers. The BioCyc website and Pathway Tools software offer many tools for querying and analysis of PGDBs, including Omics Viewers and comparative analysis. New developments include a zoomable web interface for diagrams; flux-balance analysis model generation from PGDBs; web services; and a new tool called Web Groups.

Indexed as

Databases, FactualGenomicsMetabolic Networks and PathwaysEnergy MetabolismEnzymesGenomeInternetMetabolomicsSoftwareEnzymes

Identifiers

PMID22102576
PMCPMC3245006

What OpenQuestion holds

Textmetadata
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.