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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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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. |
format | Text |
id | pubmed-1347490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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