The MetaCyc database of metabolic pathways and enzymes
| Autor: | 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 |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Databases Factual 030106 microbiology Biology computer.software_genre 03 medical and health sciences Species Specificity Genetics Database Issue Animals Humans Databases Protein Data Curation Phylogeny Internet Database Data curation Bacteria Extramural MetaCyc Plants Archaea Enzymes Metabolic pathway 030104 developmental biology Reference database computer Databases Chemical Metabolic Networks and Pathways Software |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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