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The MetaCyc database of metabolic pathways and enzymes

Authors :
Markus Krummenacker
Wai Kit Ong
Mario Latendresse
Peter D. Karp
Anamika Kothari
Pallavi Subhraveti
Carol A. Fulcher
Quang Ong
Peter E. Midford
Richard Billington
Ingrid M. Keseler
Ron Caspi
Suzanne M. Paley
Source :
Nucleic Acids Research
Publication Year :
2017
Publisher :
Oxford University Press, 2017.

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.

Details

Language :
English
ISSN :
13624962 and 03051048
Volume :
46
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....8785668e74ca50e12fb495ecbb2155f6