The EcoCyc Database

Author:

Karp Peter D.1,Weaver Daniel1,Paley Suzanne1,Fulcher Carol1,Kubo Aya1,Kothari Anamika1,Krummenacker Markus1,Subhraveti Pallavi1,Weerasinghe Deepika1,Gama-Castro Socorro2,Huerta Araceli M.2,Muñiz-Rascado Luis2,Bonavides-Martinez César2,Weiss Verena2,Peralta-Gil Martin2,Santos-Zavaleta Alberto2,Schröder Imke34,Mackie Amanda5,Gunsalus Robert34,Collado-Vides Julio2,Keseler Ingrid M.1,Paulsen Ian5

Affiliation:

1. Bioinformatics Research Group, SRI International, Menlo Park, CA 94025

2. Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, México

3. Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095

4. UCLA Institute of Genomics and Proteomics, University of California, Los Angeles, CA 90095

5. Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia

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, 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.

Publisher

American Society for Microbiology

Subject

Microbiology

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