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MetaCyc: a multiorganism database of metabolic pathways and enzymes

MetaCyc is a database of metabolic pathways and enzymes located at . Its goal is to serve as a metabolic encyclopedia, containing a collection of non-redundant pathways central to small molecule metabolism, which have been reported in the experimental literature. Most of the pathways in MetaCyc occu...

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Autores principales: Caspi, Ron, Foerster, Hartmut, Fulcher, Carol A., Hopkinson, Rebecca, Ingraham, John, Kaipa, Pallavi, Krummenacker, Markus, Paley, Suzanne, Pick, John, Rhee, Seung Y., Tissier, Christophe, Zhang, Peifen, Karp, Peter D.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347490/
https://www.ncbi.nlm.nih.gov/pubmed/16381923
http://dx.doi.org/10.1093/nar/gkj128
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author Caspi, Ron
Foerster, Hartmut
Fulcher, Carol A.
Hopkinson, Rebecca
Ingraham, John
Kaipa, Pallavi
Krummenacker, Markus
Paley, Suzanne
Pick, John
Rhee, Seung Y.
Tissier, Christophe
Zhang, Peifen
Karp, Peter D.
author_facet Caspi, Ron
Foerster, Hartmut
Fulcher, Carol A.
Hopkinson, Rebecca
Ingraham, John
Kaipa, Pallavi
Krummenacker, Markus
Paley, Suzanne
Pick, John
Rhee, Seung Y.
Tissier, Christophe
Zhang, Peifen
Karp, Peter D.
author_sort Caspi, Ron
collection PubMed
description MetaCyc is a database of metabolic pathways and enzymes located at . Its goal is to serve as a metabolic encyclopedia, containing a collection of non-redundant pathways central to small molecule metabolism, which have been reported in the experimental literature. Most of the pathways in MetaCyc occur in microorganisms and plants, although animal pathways are also represented. MetaCyc contains metabolic pathways, enzymatic reactions, enzymes, chemical compounds, genes and review-level comments. Enzyme information includes substrate specificity, kinetic properties, activators, inhibitors, cofactor requirements and links to sequence and structure databases. Data are curated from the primary literature by curators with expertise in biochemistry and molecular biology. MetaCyc serves as a readily accessible comprehensive resource on microbial and plant pathways for genome analysis, basic research, education, metabolic engineering and systems biology. Querying, visualization and curation of the database is supported by SRI's Pathway Tools software. The PathoLogic component of Pathway Tools is used in conjunction with MetaCyc to predict the metabolic network of an organism from its annotated genome. SRI and the European Bioinformatics Institute employed this tool to create pathway/genome databases (PGDBs) for 165 organisms, available at the website. These PGDBs also include predicted operons and pathway hole fillers.
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spelling pubmed-13474902006-01-25 MetaCyc: a multiorganism database of metabolic pathways and enzymes Caspi, Ron Foerster, Hartmut Fulcher, Carol A. Hopkinson, Rebecca Ingraham, John Kaipa, Pallavi Krummenacker, Markus Paley, Suzanne Pick, John Rhee, Seung Y. Tissier, Christophe Zhang, Peifen Karp, Peter D. Nucleic Acids Res Article MetaCyc is a database of metabolic pathways and enzymes located at . Its goal is to serve as a metabolic encyclopedia, containing a collection of non-redundant pathways central to small molecule metabolism, which have been reported in the experimental literature. Most of the pathways in MetaCyc occur in microorganisms and plants, although animal pathways are also represented. MetaCyc contains metabolic pathways, enzymatic reactions, enzymes, chemical compounds, genes and review-level comments. Enzyme information includes substrate specificity, kinetic properties, activators, inhibitors, cofactor requirements and links to sequence and structure databases. Data are curated from the primary literature by curators with expertise in biochemistry and molecular biology. MetaCyc serves as a readily accessible comprehensive resource on microbial and plant pathways for genome analysis, basic research, education, metabolic engineering and systems biology. Querying, visualization and curation of the database is supported by SRI's Pathway Tools software. The PathoLogic component of Pathway Tools is used in conjunction with MetaCyc to predict the metabolic network of an organism from its annotated genome. SRI and the European Bioinformatics Institute employed this tool to create pathway/genome databases (PGDBs) for 165 organisms, available at the website. These PGDBs also include predicted operons and pathway hole fillers. Oxford University Press 2006-01-01 2005-12-28 /pmc/articles/PMC1347490/ /pubmed/16381923 http://dx.doi.org/10.1093/nar/gkj128 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
Caspi, Ron
Foerster, Hartmut
Fulcher, Carol A.
Hopkinson, Rebecca
Ingraham, John
Kaipa, Pallavi
Krummenacker, Markus
Paley, Suzanne
Pick, John
Rhee, Seung Y.
Tissier, Christophe
Zhang, Peifen
Karp, Peter D.
MetaCyc: a multiorganism database of metabolic pathways and enzymes
title MetaCyc: a multiorganism database of metabolic pathways and enzymes
title_full MetaCyc: a multiorganism database of metabolic pathways and enzymes
title_fullStr MetaCyc: a multiorganism database of metabolic pathways and enzymes
title_full_unstemmed MetaCyc: a multiorganism database of metabolic pathways and enzymes
title_short MetaCyc: a multiorganism database of metabolic pathways and enzymes
title_sort metacyc: a multiorganism database of metabolic pathways and enzymes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347490/
https://www.ncbi.nlm.nih.gov/pubmed/16381923
http://dx.doi.org/10.1093/nar/gkj128
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