Evidence map›Paper›PMID 24225315›Full record

ArticleNucleic acids research2014

The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases.

Ron Caspi, Tomer Altman, Richard Billington, Kate Dreher, Hartmut Foerster, Carol A Fulcher, Timothy A Holland, Ingrid M Keseler, Anamika Kothari, Aya Kubo and 10 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 664 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
664citing papers in PubMed, 1 pooled it
–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

664 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Gut archaea drive human MAIT cell responses.bioRxiv : the preprint server for biology · 2026
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604 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

20 authors.

Ron CaspiSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA, Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA and Boyce Thompson Institute for Plant Research, Tower Road, Ithaca, New York 14853 USA.
Tomer Altman
Richard Billington
Kate Dreher
Hartmut Foerster
Carol A Fulcher
Timothy A Holland
Ingrid M Keseler
Anamika Kothari
Aya Kubo
Markus Krummenacker
Mario Latendresse
Lukas A Mueller
Quang Ong
Suzanne Paley
Pallavi Subhraveti
Daniel S Weaver
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 GM077678NIGMS NIH HHS GM080746NIGMS NIH HHS GM088849NIGMS NIH HHS GM75742NIGMS 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 (MetaCyc.org) is a comprehensive and freely accessible database describing metabolic pathways and enzymes from all domains of life. MetaCyc pathways are experimentally determined, mostly small-molecule metabolic pathways and are curated from the primary scientific literature. MetaCyc contains >2100 pathways derived from >37,000 publications, and is the largest curated collection of metabolic pathways currently available. BioCyc (BioCyc.org) is a collection of >3000 organism-specific Pathway/Genome Databases (PGDBs), each containing the full genome and predicted metabolic network of one organism, including metabolites, enzymes, reactions, metabolic pathways, predicted operons, transport systems and pathway-hole fillers. Additions to BioCyc over the past 2 years include YeastCyc, a PGDB for Saccharomyces cerevisiae, and 891 new genomes from the Human Microbiome Project. The BioCyc Web site offers a variety of tools for querying and analysis of PGDBs, including Omics Viewers and tools for comparative analysis. New developments include atom mappings in reactions, a new representation of glycan degradation pathways, improved compound structure display, better coverage of enzyme kinetic data, enhancements of the Web Groups functionality, improvements to the Omics viewers, a new representation of the Enzyme Commission system and, for the desktop version of the software, the ability to save display states.

Indexed as

Databases, ChemicalMetabolic Networks and PathwaysEnzymesGene OntologyGenomeInternetKineticsPolysaccharidesSoftwareEnzymesPolysaccharides

Identifiers

PMID24225315
PMCPMC3964957

What OpenQuestion holds

Textmetadata
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.