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The EcoCyc Database (2023).
Karp, Peter D; Paley, Suzanne; Caspi, Ron; Kothari, Anamika; Krummenacker, Markus; Midford, Peter E; Moore, Lisa R; Subhraveti, Pallavi; Gama-Castro, Socorro; Tierrafria, Victor H; Lara, Paloma; Muñiz-Rascado, Luis; Bonavides-Martinez, César; Santos-Zavaleta, Alberto; Mackie, Amanda; Sun, Gwanggyu; Ahn-Horst, Travis A; Choi, Heejo; Covert, Markus W; Collado-Vides, Julio; Paulsen, Ian.
Afiliação
  • Karp PD; Bioinformatics Research Group, SRI International, Menlo Park, California, USA.
  • Paley S; Bioinformatics Research Group, SRI International, Menlo Park, California, USA.
  • Caspi R; Bioinformatics Research Group, SRI International, Menlo Park, California, USA.
  • Kothari A; Bioinformatics Research Group, SRI International, Menlo Park, California, USA.
  • Krummenacker M; Bioinformatics Research Group, SRI International, Menlo Park, California, USA.
  • Midford PE; Bioinformatics Research Group, SRI International, Menlo Park, California, USA.
  • Moore LR; Bioinformatics Research Group, SRI International, Menlo Park, California, USA.
  • Subhraveti P; Bioinformatics Research Group, SRI International, Menlo Park, California, USA.
  • Gama-Castro S; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México.
  • Tierrafria VH; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México.
  • Lara P; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México.
  • Muñiz-Rascado L; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México.
  • Bonavides-Martinez C; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México.
  • Santos-Zavaleta A; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México.
  • Mackie A; Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, New South Wales, Australia.
  • Sun G; Department of Bioengineering, Stanford University, Stanford, California, USA.
  • Ahn-Horst TA; Department of Bioengineering, Stanford University, Stanford, California, USA.
  • Choi H; Department of Bioengineering, Stanford University, Stanford, California, USA.
  • Covert MW; Department of Bioengineering, Stanford University, Stanford, California, USA.
  • Collado-Vides J; Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México.
  • Paulsen I; School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia.
EcoSal Plus ; 11(1): eesp00022023, 2023 Dec 12.
Article em En | MEDLINE | ID: mdl-37220074
ABSTRACT
EcoCyc is a bioinformatics database available online 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 the regulation of gene expression, E. coli gene essentiality, and nutrient conditions that do or do not support the growth of E. coli. The website and downloadable software contain tools for the 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 online. The model can predict metabolic flux rates, nutrient uptake rates, and growth rates for different gene knockouts and nutrient conditions. Data generated from a whole-cell model that is parameterized from the latest data on EcoCyc are also available. This review outlines the data content of EcoCyc and of the procedures by which this content is generated.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas de Escherichia coli / Escherichia coli K12 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas de Escherichia coli / Escherichia coli K12 Idioma: En Ano de publicação: 2023 Tipo de documento: Article