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MetaCyc: a multiorganism database of metabolic pathways and enzymes
- Source :
- Nucleic Acids Research. 32:438D-442
- Publication Year :
- 2004
- Publisher :
- Oxford University Press (OUP), 2004.
-
Abstract
- The MetaCyc database (see URL http://MetaCyc.org) is a collection of metabolic pathways and enzymes from a wide variety of organisms, primarily microorganisms and plants. The goal of MetaCyc is to contain a representative sample of each experimentally elucidated pathway, and thereby to catalog the universe of metabolism. MetaCyc also describes reactions, chemical compounds and genes. Many of the pathways and enzymes in MetaCyc contain extensive information, including comments and literature citations. SRI’s Pathway Tools software supports querying, visualization and curation of MetaCyc. With its wide breadth and depth of metabolic information, MetaCyc is a valuable resource for a variety of applications. MetaCyc is the reference database of pathways and enzymes that is used in conjunction with SRI’s metabolic pathway prediction program to create Pathway/Genome Databases that can be augmented with curation from the scientific literature and published on the world wide web. MetaCyc also serves as a readily accessible comprehensive resource on microbial and plant pathways for genome analysis, basic research, education, metabolic engineering and systems biology. In the past 2 years the data content and the Pathway Tools software used to query, visualize and edit MetaCyc have been expanded significantly. These enhancements are described in this paper.
- Subjects :
- 0106 biological sciences
Internet
0303 health sciences
Databases, Factual
Biochemical Phenomena
Information Storage and Retrieval
Articles
Classification
Biochemistry
01 natural sciences
Enzymes
03 medical and health sciences
Metabolism
Escherichia coli
Genetics
Humans
Software
030304 developmental biology
010606 plant biology & botany
Subjects
Details
- ISSN :
- 13624962
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....8c577b1fc4148d47fced68eabc2b49a9
- Full Text :
- https://doi.org/10.1093/nar/gkh100