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The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases
MetaCyc (MetaCyc.org) is a universal database of metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are curated from the primary scientific literature, and are experimentally determined small-molecule metabolic pathways. Each reaction in a MetaCyc pathway is annotated w...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238876/ https://www.ncbi.nlm.nih.gov/pubmed/17965431 http://dx.doi.org/10.1093/nar/gkm900 |
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author | Caspi, Ron Foerster, Hartmut Fulcher, Carol A. Kaipa, Pallavi Krummenacker, Markus Latendresse, Mario Paley, Suzanne Rhee, Seung Y. Shearer, Alexander G. Tissier, Christophe Walk, Thomas C. Zhang, Peifen Karp, Peter D. |
author_facet | Caspi, Ron Foerster, Hartmut Fulcher, Carol A. Kaipa, Pallavi Krummenacker, Markus Latendresse, Mario Paley, Suzanne Rhee, Seung Y. Shearer, Alexander G. Tissier, Christophe Walk, Thomas C. Zhang, Peifen Karp, Peter D. |
author_sort | Caspi, Ron |
collection | PubMed |
description | MetaCyc (MetaCyc.org) is a universal database of metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are curated from the primary scientific literature, and are experimentally determined small-molecule metabolic pathways. Each reaction in a MetaCyc pathway is annotated with one or more well-characterized enzymes. Because MetaCyc contains only experimentally elucidated knowledge, it provides a uniquely high-quality resource for metabolic pathways and enzymes. BioCyc (BioCyc.org) is a collection of more than 350 organism-specific Pathway/Genome Databases (PGDBs). Each BioCyc PGDB contains the predicted metabolic network of one organism, including metabolic pathways, enzymes, metabolites and reactions predicted by the Pathway Tools software using MetaCyc as a reference database. BioCyc PGDBs also contain predicted operons and predicted pathway hole fillers—predictions of which enzymes may catalyze pathway reactions that have not been assigned to an enzyme. The BioCyc website offers many tools for computational analysis of PGDBs, including comparative analysis and analysis of omics data in a pathway context. The BioCyc PGDBs generated by SRI are offered for adoption by any interested party for the ongoing integration of metabolic and genome-related information about an organism. |
format | Text |
id | pubmed-2238876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-22388762008-02-12 The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases Caspi, Ron Foerster, Hartmut Fulcher, Carol A. Kaipa, Pallavi Krummenacker, Markus Latendresse, Mario Paley, Suzanne Rhee, Seung Y. Shearer, Alexander G. Tissier, Christophe Walk, Thomas C. Zhang, Peifen Karp, Peter D. Nucleic Acids Res Articles MetaCyc (MetaCyc.org) is a universal database of metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are curated from the primary scientific literature, and are experimentally determined small-molecule metabolic pathways. Each reaction in a MetaCyc pathway is annotated with one or more well-characterized enzymes. Because MetaCyc contains only experimentally elucidated knowledge, it provides a uniquely high-quality resource for metabolic pathways and enzymes. BioCyc (BioCyc.org) is a collection of more than 350 organism-specific Pathway/Genome Databases (PGDBs). Each BioCyc PGDB contains the predicted metabolic network of one organism, including metabolic pathways, enzymes, metabolites and reactions predicted by the Pathway Tools software using MetaCyc as a reference database. BioCyc PGDBs also contain predicted operons and predicted pathway hole fillers—predictions of which enzymes may catalyze pathway reactions that have not been assigned to an enzyme. The BioCyc website offers many tools for computational analysis of PGDBs, including comparative analysis and analysis of omics data in a pathway context. The BioCyc PGDBs generated by SRI are offered for adoption by any interested party for the ongoing integration of metabolic and genome-related information about an organism. Oxford University Press 2008-01 2007-10-27 /pmc/articles/PMC2238876/ /pubmed/17965431 http://dx.doi.org/10.1093/nar/gkm900 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Caspi, Ron Foerster, Hartmut Fulcher, Carol A. Kaipa, Pallavi Krummenacker, Markus Latendresse, Mario Paley, Suzanne Rhee, Seung Y. Shearer, Alexander G. Tissier, Christophe Walk, Thomas C. Zhang, Peifen Karp, Peter D. The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases |
title | The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases |
title_full | The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases |
title_fullStr | The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases |
title_full_unstemmed | The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases |
title_short | The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases |
title_sort | metacyc database of metabolic pathways and enzymes and the biocyc collection of pathway/genome databases |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238876/ https://www.ncbi.nlm.nih.gov/pubmed/17965431 http://dx.doi.org/10.1093/nar/gkm900 |
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