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The EcoCyc Database.
Karp, Peter D; Ong, Wai Kit; Paley, Suzanne; Billington, Richard; Caspi, Ron; Fulcher, Carol; Kothari, Anamika; Krummenacker, Markus; Latendresse, Mario; Midford, Peter E; Subhraveti, Pallavi; Gama-Castro, Socorro; Muñiz-Rascado, Luis; Bonavides-Martinez, César; Santos-Zavaleta, Alberto; Mackie, Amanda; Collado-Vides, Julio; Keseler, Ingrid M; Paulsen, Ian.
Afiliação
  • Karp PD; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Ong WK; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Paley S; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Billington R; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Caspi R; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Fulcher C; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Kothari A; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Krummenacker M; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Latendresse M; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Midford PE; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Subhraveti P; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Gama-Castro S; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, México.
  • Muñiz-Rascado L; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, México.
  • Bonavides-Martinez C; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, México.
  • Santos-Zavaleta A; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, México.
  • Mackie A; Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia.
  • Collado-Vides J; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, México.
  • Keseler IM; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025.
  • Paulsen I; Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia.
EcoSal Plus ; 8(1)2018 11.
Article em En | MEDLINE | ID: mdl-30406744
ABSTRACT
EcoCyc is a bioinformatics database available at EcoCyc.org that describes the genome and the biochemical machinery of Escherichia coli K-12 MG1655. The long-term 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 product, 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 and can be executed via EcoCyc.org. The model can predict metabolic flux rates, nutrient uptake rates, and growth rates for different gene knockouts and nutrient conditions. This review outlines the data content of EcoCyc and of the procedures by which this content is generated.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genoma Bacteriano / Bases de Dados Genéticas / Escherichia coli K12 Tipo de estudo: Prognostic_studies Idioma: En Revista: EcoSal Plus Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genoma Bacteriano / Bases de Dados Genéticas / Escherichia coli K12 Tipo de estudo: Prognostic_studies Idioma: En Revista: EcoSal Plus Ano de publicação: 2018 Tipo de documento: Article