Literature DB >> 9016502

EcoCyc: Enyclopedia of Escherichia coli Genes and Metabolism.

P D Karp1, M Riley, S M Paley, A Pellegrini-Toole, M Krummenacker.   

Abstract

The Encyclopedia of Genes and Metabolism (EcoCyc) is a database that combines information about the genome and the intermediary metabolism of Escherichia coli. It describes 2970 genes of E.coli, 547 enzymes encoded by these genes, 702 metabolic reactions that occur in E.coli and the organization of these reactions into 107 metabolic pathways. The EcoCyc graphical user interface allows scientists to query and explore the EcoCyc database using visualization tools such as genomic-map browsers and automatic layouts of metabolic pathways. EcoCyc spans the space from sequence to function to allow scientists to investigate an unusually broad range of questions. EcoCyc can be thought of as both an electronic review article because of its copious references to the primary literature, and as an in silicio model of E.coli metabolism that can be probed and analyzed through computational means.

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Year:  1997        PMID: 9016502      PMCID: PMC146379          DOI: 10.1093/nar/25.1.43

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  5 in total

1.  A knowledge base of the chemical compounds of intermediary metabolism.

Authors:  P D Karp
Journal:  Comput Appl Biosci       Date:  1992-08

2.  Integrated access to metabolic and genomic data.

Authors:  P D Karp; S Paley
Journal:  J Comput Biol       Date:  1996       Impact factor: 1.479

3.  Representations of metabolic knowledge: pathways.

Authors:  P D Karp; S M Paley
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1994

4.  The ENZYME data bank.

Authors:  A Bairoch
Journal:  Nucleic Acids Res       Date:  1994-09       Impact factor: 16.971

Review 5.  Functions of the gene products of Escherichia coli.

Authors:  M Riley
Journal:  Microbiol Rev       Date:  1993-12
  5 in total
  9 in total

Review 1.  The EcoCyc Database.

Authors:  Peter D Karp; Wai Kit Ong; Suzanne Paley; Richard Billington; Ron Caspi; Carol Fulcher; Anamika Kothari; Markus Krummenacker; Mario Latendresse; Peter E Midford; Pallavi Subhraveti; Socorro Gama-Castro; Luis Muñiz-Rascado; César Bonavides-Martinez; Alberto Santos-Zavaleta; Amanda Mackie; Julio Collado-Vides; Ingrid M Keseler; Ian Paulsen
Journal:  EcoSal Plus       Date:  2018-11

2.  Effect of slow growth on metabolism of Escherichia coli, as revealed by global metabolite pool ("metabolome") analysis.

Authors:  H Tweeddale; L Notley-McRobb; T Ferenci
Journal:  J Bacteriol       Date:  1998-10       Impact factor: 3.490

3.  EcoCyc: Encyclopedia of Escherichia coli genes and metabolism.

Authors:  P D Karp; M Riley; S M Paley; A Pellegrini-Toole; M Krummenacker
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

4.  Modeling and simulation of the main metabolism in Escherichia coli and its several single-gene knockout mutants with experimental verification.

Authors:  Tuty Asmawaty Abdul Kadir; Ahmad A Mannan; Andrzej M Kierzek; Johnjoe McFadden; Kazuyuki Shimizu
Journal:  Microb Cell Fact       Date:  2010-11-19       Impact factor: 5.328

5.  The EcoCyc Database.

Authors:  Peter D Karp; Daniel Weaver; Suzanne Paley; Carol Fulcher; Aya Kubo; Anamika Kothari; Markus Krummenacker; Pallavi Subhraveti; Deepika Weerasinghe; Socorro Gama-Castro; Araceli M Huerta; Luis Muñiz-Rascado; César Bonavides-Martinez; Verena Weiss; Martin Peralta-Gil; Alberto Santos-Zavaleta; Imke Schröder; Amanda Mackie; Robert Gunsalus; Julio Collado-Vides; Ingrid M Keseler; Ian Paulsen
Journal:  EcoSal Plus       Date:  2014-05

6.  How the strengths of Lisp-family languages facilitate building complex and flexible bioinformatics applications.

Authors:  Bohdan B Khomtchouk; Edmund Weitz; Peter D Karp; Claes Wahlestedt
Journal:  Brief Bioinform       Date:  2018-05-01       Impact factor: 11.622

7.  Pathway Tools Visualization of Organism-Scale Metabolic Networks.

Authors:  Suzanne Paley; Richard Billington; James Herson; Markus Krummenacker; Peter D Karp
Journal:  Metabolites       Date:  2021-01-22

8.  Cysteine and iron accelerate the formation of ribose-5-phosphate, providing insights into the evolutionary origins of the metabolic network structure.

Authors:  Gabriel Piedrafita; Sreejith J Varma; Cecilia Castro; Christoph B Messner; Lukasz Szyrwiel; Julian L Griffin; Markus Ralser
Journal:  PLoS Biol       Date:  2021-12-03       Impact factor: 8.029

9.  Prediction of Selected Biosynthetic Pathways for the Lipopolysaccharide Components in Porphyromonas gingivalis.

Authors:  Wieslaw Swietnicki; Ron Caspi
Journal:  Pathogens       Date:  2021-03-20
  9 in total

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