» Articles » PMID: 26442933

The EcoCyc Database

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.

Citing Articles

Insights into antibiotic resistance promoted by quinolone exposure.

Bush N, Diez-Santos I, Sankara Krishna P, Clavijo B, Maxwell A Antimicrob Agents Chemother. 2024; 69(1):e0099724.

PMID: 39589140 PMC: 11784200. DOI: 10.1128/aac.00997-24.


Protecting the Achilles heel: three FolE_I-type GTP-cyclohydrolases needed for full growth of metal-resistant under a variety of conditions.

Schulz V, Galea D, Herzberg M, Nies D J Bacteriol. 2024; 206(2):e0039523.

PMID: 38226602 PMC: 10882993. DOI: 10.1128/jb.00395-23.


K-12 Transcriptomics for Assessing the Mechanism of Action of High-Power Ultrasound.

Spiteri D, Griffin S, Karatzas K, Scerri C, Valdramidis V Microorganisms. 2023; 11(11).

PMID: 38004779 PMC: 10673019. DOI: 10.3390/microorganisms11112768.


Bacterial acetate metabolism and its influence on human epithelia.

Hosmer J, McEwan A, Kappler U Emerg Top Life Sci. 2023; 8(1):1-13.

PMID: 36945843 PMC: 10903459. DOI: 10.1042/ETLS20220092.


Analyzing the Systems Biology Effects of COVID-19 mRNA Vaccines to Assess Their Safety and Putative Side Effects.

Hajjo R, Sabbah D, Tropsha A Pathogens. 2022; 11(7).

PMID: 35889989 PMC: 9320269. DOI: 10.3390/pathogens11070743.


References
1.
Keseler I, Collado-Vides J, Gama-Castro S, Ingraham J, Paley S, Paulsen I . EcoCyc: a comprehensive database resource for Escherichia coli. Nucleic Acids Res. 2004; 33(Database issue):D334-7. PMC: 540062. DOI: 10.1093/nar/gki108. View

2.
Bowers P, Pellegrini M, Thompson M, Fierro J, Yeates T, Eisenberg D . Prolinks: a database of protein functional linkages derived from coevolution. Genome Biol. 2004; 5(5):R35. PMC: 416471. DOI: 10.1186/gb-2004-5-5-r35. View

3.
Karp P, Riley M, Paley S, Pellegrini-Toole A, Krummenacker M . EcoCyc: Encyclopedia of Escherichia coli genes and metabolism. Nucleic Acids Res. 1998; 26(1):50-3. PMC: 147256. DOI: 10.1093/nar/26.1.50. View

4.
Karp P, Riley M, Paley S, Pellegrini-Toole A, Krummenacker M . EcoCyc: Enyclopedia of Escherichia coli Genes and Metabolism. Nucleic Acids Res. 1997; 25(1):43-51. PMC: 146379. DOI: 10.1093/nar/25.1.43. View

5.
Steinhauser D, Junker B, Luedemann A, Selbig J, Kopka J . Hypothesis-driven approach to predict transcriptional units from gene expression data. Bioinformatics. 2004; 20(12):1928-39. DOI: 10.1093/bioinformatics/bth182. View