Artículo

Caspi, R.; Billington, R.; Ferrer, L.; Foerster, H.; Fulcher, C.A.; Keseler, I.M.; Kothari, A.; Krummenacker, M.; Latendresse, M.; Mueller, L.A.; Ong, Q.; Paley, S.; Subhraveti, P.; Weaver, D.S.; Karp, P.D. "The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases" (2016) Nucleic Acids Research. 44(D1):D471-D480
Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

The MetaCyc database (MetaCyc.org) is a freely accessible comprehensive database describing metabolic pathways and enzymes from all domains of life. The majority of MetaCyc pathways are small-molecule metabolic pathways that have been experimentally determined. MetaCyc contains more than 2400 pathways derived from >46 000 publications, and is the largest curated collection of metabolic pathways. BioCyc (BioCyc.org) is a collection of 5700 organism-specific Pathway/Genome Databases (PGDBs), each containing the full genome and predicted metabolic network of one organism, including metabolites, enzymes, reactions, metabolic pathways, predicted operons, transport systems, and pathway-hole fillers. The BioCyc website offers a variety of tools for querying and analyzing PGDBs, including Omics Viewers and tools for comparative analysis. This article provides an update of new developments in MetaCyc and BioCyc during the last two years, including addition of Gibbs free energy values for compounds and reactions; redesign of the primary gene/protein page; addition of a tool for creating diagrams containing multiple linked pathways; several new search capabilities, including searching for genes based on sequence patterns, searching for databases based on an organism's phenotypes, and a cross-organism search; and a metabolite identifier translation service. © The Author(s) 2015.

Registro:

Documento: Artículo
Título:The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
Autor:Caspi, R.; Billington, R.; Ferrer, L.; Foerster, H.; Fulcher, C.A.; Keseler, I.M.; Kothari, A.; Krummenacker, M.; Latendresse, M.; Mueller, L.A.; Ong, Q.; Paley, S.; Subhraveti, P.; Weaver, D.S.; Karp, P.D.
Filiación:SRI International, 333 Ravenswood, Menlo Park, CA 94025, United States
FCEN, University of Buenos Aires, CONICET, Argentina
Boyce Thompson Institute for Plant Research, Tower Road, Ithaca, NY 14853, United States
Palabras clave:algorithm; Article; electron transport; factual database; gene sequence; genetic database; human; metabolism; metabolite; molecular weight; nonhuman; operon; phenotype; priority journal; quality control; chemical database; genetics; genome; Internet; software; enzyme; Databases, Chemical; Databases, Genetic; Electron Transport; Enzymes; Genome; Internet; Metabolic Networks and Pathways; Software
Año:2016
Volumen:44
Número:D1
Página de inicio:D471
Página de fin:D480
DOI: http://dx.doi.org/10.1093/nar/gkv1164
Título revista:Nucleic Acids Research
Título revista abreviado:Nucleic Acids Res.
ISSN:03051048
CODEN:NARHA
CAS:Enzymes
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03051048_v44_nD1_pD471_Caspi

Referencias:

  • Caspi, R., Altman, T., Billington, R., Dreher, K., Foerster, H., Fulcher, C.A., Holland, T.A., Kubo, A., The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/Genome databases (2014) Nucleic Acids Res., 42, pp. D459-D471
  • Karp, P.D., Paley, S.M., Krummenacker, M., Latendresse, M., Dale, J.M., Lee, T.J., Kaipa, P., Popescu, L., Pathway tools version 13.0: Integrated software for pathway/genome informatics and systems biology (2010) Brief Bioinform., 11, pp. 40-79
  • Dale, J.M., Popescu, L., Karp, P.D., Machine learning methods for metabolic pathway prediction (2010) BMC Bioinformatics, 11, p. 15
  • Jankowski, M.D., Henry, C.S., Broadbelt, L.J., Hatzimanikatis, V., Group contribution method for thermodynamic analysis of complex metabolic networks (2008) Biophys. J., 95, pp. 1487-1499
  • Alberty, R.A., (2003) Thermodynamics of Biochemical Reactions, , Wiley InterScience
  • Pruitt, K.D., Brown, G.R., Hiatt, S.M., Thibaud-Nissen, F., Astashyn, A., Ermolaeva, O., Farrell, C.M., McGarvey, K.M., RefSeq: An update on mammalian reference sequences (2014) Nucleic Acids Res., 42, pp. D756-D763
  • Database resources of the national center for biotechnology information (2015) Nucleic Acids Res., 43, pp. D6-D17
  • Hastings, J., De Matos, P., Dekker, A., Ennis, M., Harsha, B., Kale, N., Muthukrishnan, V., Williams, M., The ChEBI reference database and ontology for biologically relevant chemistry: Enhancements for 2013 (2013) Nucleic Acids Res., 41, pp. D456-D463
  • Kanehisa, M., Goto, S., Sato, Y., Kawashima, M., Furumichi, M., Tanabe, M., Data, information, knowledge and principle: Back to metabolism in KEGG (2014) Nucleic Acids Res., 42, pp. D199-D205
  • Field, D., Garrity, G., Gray, T., Morrison, N., Selengut, J., Sterk, P., Tatusova, T., Angiuoli, S.V., The minimum information about a genome sequence (MIGS) specification (2008) Nat. Biotechnol., 26, pp. 541-547
  • Ferrer, L., Shearer, A.G., Karp, P.D., Discovering novel subsystems using comparative genomics (2011) Bioinformatics, 27, pp. 2478-2485
  • Ferrer, L., Dale, J.M., Karp, P.D., A systematic study of genome context methods: Calibration, normalization and combination (2010) BMC Bioinformatics, 11, p. 493
  • Varma, A., Palsson, B.O., Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110 (1994) Appl. Environ. Microbiol., 60, pp. 3724-3731
  • Harcombe, W.R., Riehl, W.J., Dukovski, I., Granger, B.R., Betts, A., Lang, A.H., Bonilla, G., Mehta, P., Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics (2014) Cell Rep., 7, pp. 1104-1115
  • Zhuang, K., Izallalen, M., Mouser, P., Richter, H., Risso, C., Mahadevan, R., Lovley, D.R., Genome-scale dynamic modeling of the competition between rhodoferax and geobacter in anoxic subsurface environments (2011) ISME J., 5, pp. 305-316
  • Ebrahim, A., Lerman, J.A., Palsson, B.O., Hyduke, D.R., COBRApy: Constraints-based reconstruction and analysis for python (2013) BMC Syst. Biol., 7, p. 74
  • Karp, P.D., Latendresse, M., Paley, S.M., Krummenacker, M., Ong, Q.D., Billington, R., Kothari, A., Subhraveti, P., Pathway tools version 19.0 update: Software for pathway/genome informatics and systems biology (2015) Brief Bioinform
  • Vaas, L.A., Sikorski, J., Hofner, B., Fiebig, A., Buddruhs, N., Klenk, H.P., Goker, M., Opm: An R package for analysing OmniLog(R) phenotype microarray data (2013) Bioinformatics, 29, pp. 1823-1824

Citas:

---------- APA ----------
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C.A., Keseler, I.M., Kothari, A.,..., Karp, P.D. (2016) . The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Research, 44(D1), D471-D480.
http://dx.doi.org/10.1093/nar/gkv1164
---------- CHICAGO ----------
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C.A., Keseler, I.M., et al. "The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases" . Nucleic Acids Research 44, no. D1 (2016) : D471-D480.
http://dx.doi.org/10.1093/nar/gkv1164
---------- MLA ----------
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C.A., Keseler, I.M., et al. "The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases" . Nucleic Acids Research, vol. 44, no. D1, 2016, pp. D471-D480.
http://dx.doi.org/10.1093/nar/gkv1164
---------- VANCOUVER ----------
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C.A., Keseler, I.M., et al. The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Res. 2016;44(D1):D471-D480.
http://dx.doi.org/10.1093/nar/gkv1164