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Cited by 894

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

The MetaCyc database of metabolic pathways and enzymes

Open access
Caspi, Ron, Billington, Richard, Fulcher, Carol A, Keseler, Ingrid M, Kothari, Anamika, Krummenacker, Markus, Latendresse, Mario, Midford, Peter E, Ong, Quang, Ong, Wai Kit, Paley, Suzanne, Subhraveti, Pallavi, Karp, Peter D·2018·Nucleic Acids Research

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.

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Metadata

Authors
Caspi, R., Billington, R., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Midford, P. E., Ong, Q., Ong, W. K., Paley, S., Subhraveti, P., & Karp, P. D.
Venue
Nucleic Acids Research
Published
2017-10-20
Volume
46
Issue
D1
Pages
D633-D639
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2767088268
Cited by
894
References
18
FWCI
26.40
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The MetaCyc database of metabolic pathways and enzymes. https://app.cochat.ai/papers/10.1093/nar/gkx935
The paper
Caspi, R., Billington, R., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Midford, P. E., Ong, Q., Ong, W. K., Paley, S., Subhraveti, P., & Karp, P. D. (2018). The MetaCyc database of metabolic pathways and enzymes. Nucleic Acids Research. https://doi.org/10.1093/nar/gkx935

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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