Evidence map›Paper›PMID 29059334›Full record

ArticleNucleic acids research2018

The MetaCyc database of metabolic pathways and enzymes.

Ron Caspi, Richard Billington, Carol A Fulcher, Ingrid M Keseler, Anamika Kothari, Markus Krummenacker, Mario Latendresse, Peter E Midford, Quang Ong, Wai Kit Ong and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 471 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
471citing papers in PubMed, 2 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

471 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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411 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

13 authors.

Ron CaspiSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Richard BillingtonSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Carol A FulcherSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Ingrid M KeselerSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Anamika KothariSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Markus KrummenackerSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Mario LatendresseSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Peter E MidfordSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Quang OngSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Wai Kit OngSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Suzanne PaleySRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Pallavi SubhravetiSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.
Peter D KarpSRI International, 333 Ravenswood, Menlo Park, CA 94025, USA.

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
NIGMS NIH HHS R01 GM075742NIGMS NIH HHS R01 GM080746NIGMS NIH HHS U24 GM077678
6 · The paper itself

Abstract

MetaCyc (https://MetaCyc.org) is a comprehensive reference database of metabolic pathways and enzymes from all domains of life. It contains more than 2570 pathways derived from >54 000 publications, making it the largest curated collection of metabolic pathways. The data in MetaCyc is strictly evidence-based and richly curated, resulting in an encyclopedic reference tool for metabolism. MetaCyc is also used as a knowledge base for generating thousands of organism-specific Pathway/Genome Databases (PGDBs), which are available in the BioCyc (https://BioCyc.org) and other PGDB collections. This article provides an update on the developments in MetaCyc during the past two years, including the expansion of data and addition of new features.

Indexed as

Databases, FactualMetabolic Networks and PathwaysAnimalsArchaeaBacteriaDatabases, ChemicalDatabases, ProteinData CurationEnzymesHumansInternetPhylogenyPlantsSoftwareSpecies SpecificityEnzymes

Identifiers

PMID29059334
PMCPMC5753197

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.