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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...

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Autores principales: 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.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
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.
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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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