Evidence map›Paper›PMID 19850718›Full record

ArticleNucleic acids research2010

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

Ron Caspi, Tomer Altman, Joseph M Dale, Kate Dreher, Carol A Fulcher, Fred Gilham, Pallavi Kaipa, Athikkattuvalasu S Karthikeyan, Anamika Kothari, Markus Krummenacker and 8 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 papers.

0numbers the graph read from it
0cells of the map it votes in
220citing 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

220 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Flexible BProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Microorganisms · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Effectiveness of3 Biotech · 2019
    Article

160 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.
Tomer Altman
Joseph M Dale
Kate Dreher
Carol A Fulcher
Fred Gilham
Pallavi Kaipa
Athikkattuvalasu S Karthikeyan
Anamika Kothari
Markus Krummenacker
Mario Latendresse
Lukas A Mueller
Suzanne Paley
Liviu Popescu
Anuradha Pujar
Alexander G Shearer
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
Robust Software Components for Model Organism DatabasesR01GM075742 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2005 to 2019
$12.0M
NIGMS NIH HHS GM077678NIGMS NIH HHS GM080746NIGMS NIH HHS GM75742NIGMS NIH HHS R01 GM080746
6 · The paper itself

Abstract

The MetaCyc database (MetaCyc.org) is 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. With more than 1400 pathways, MetaCyc is the largest collection of metabolic pathways currently available. Pathways reactions are linked to one or more well-characterized enzymes, and both pathways and enzymes are annotated with reviews, evidence codes, and literature citations. BioCyc (BioCyc.org) is a collection of more than 500 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, consists of metabolites, enzymes, reactions and metabolic pathways. BioCyc PGDBs also contain additional features, such as predicted operons, transport systems, and pathway hole-fillers. The BioCyc Web site offers several tools for the analysis of the PGDBs, including Omics Viewers that enable visualization of omics datasets on two different genome-scale diagrams and tools for comparative analysis. The BioCyc PGDBs generated by SRI are offered for adoption by any party interested in curation of metabolic, regulatory, and genome-related information about an organism.

Indexed as

Databases, GeneticDatabases, Nucleic AcidAnimalsComputational BiologyDatabases, ProteinGenome, ArchaealGenome, BacterialGenome, PlantGenome, ViralHumansInformation Storage and RetrievalInternetModels, BiologicalProtein Structure, TertiarySoftware

Identifiers

PMID19850718
PMCPMC2808959

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.