10 research outputs found

    EcoCyc: fusing model organism databases with systems biology.

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    EcoCyc (http://EcoCyc.org) is a model organism database built on the genome sequence of Escherichia coli K-12 MG1655. Expert manual curation of the functions of individual E. coli gene products in EcoCyc has been based on information found in the experimental literature for E. coli K-12-derived strains. Updates to EcoCyc content continue to improve the comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc

    The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases

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    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.Fil: Caspi, Ron. SRI International; Estados UnidosFil: Billington, Richard. SRI International; Estados UnidosFil: Ferrer, Luciana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Foerster, Hartmut. Boyce Thompson Institute for Plant Research; Estados UnidosFil: Fulcher, Carol A.. SRI International; Estados UnidosFil: Keseler, Ingrid M.. SRI International; Estados UnidosFil: Kothari, Anamika. SRI International; Estados UnidosFil: Krummenacker, Markus. SRI International; Estados UnidosFil: Latendresse, Mario. SRI International; Estados UnidosFil: Mueller, Lukas A.. Boyce Thompson Institute for Plant Research; Estados UnidosFil: Ong, Quang. SRI International; Estados UnidosFil: Paley, Suzanne. SRI International; Estados UnidosFil: Subhraveti, Pallavi. SRI International; Estados UnidosFil: Weaver, Daniel S.. SRI International; Estados UnidosFil: Karp, Peter D.. SRI International; Estados Unido

    The EcoCyc database

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    EcoCyc is a bioinformatics database available at EcoCyc.org that describes the genome and the biochemical machinery of Escherichia coli K-12 MG1655. The longterm goal of the project is to describe the complete molecular catalog of the E. coli cell, as well as the functions of each of its molecular parts, to facilitate a system-level understanding of E. coli. EcoCyc is an electronic reference source for E. coli biologists and for biologists who work with related microorganisms. The database includes information pages on each E. coli gene, metabolite, reaction, operon, and metabolic pathway. The database also includes information on E. coli gene essentiality and on nutrient conditions that do or do not support the growth of E. coli. The website and downloadable software contain tools for analysis of high-throughput data sets. In addition, a steady-state metabolic flux model is generated from each new version of EcoCyc. The model can predict metabolic flux rates, nutrient uptake rates, and growth rates for different gene knockouts and nutrient conditions. This review provides a detailed description of the data content of EcoCyc and of the procedures by which this content is generated.13 page(s
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