Peter D Karp, Suzanne Paley, Ron Caspi, Anamika Kothari, Markus Krummenacker, Peter E Midford, Lisa R Moore, Pallavi Subhraveti, Socorro Gama-Castro, Victor H Tierrafria, Paloma Lara, Luis Muñiz-Rascado, César Bonavides-Martinez, Alberto Santos-Zavaleta, Amanda Mackie, Gwanggyu Sun, Travis A Ahn-Horst, Heejo Choi, Markus W Covert, Julio Collado-Vides, Ian Paulsen
{"title":"The EcoCyc Database (2023).","authors":"Peter D Karp, Suzanne Paley, Ron Caspi, Anamika Kothari, Markus Krummenacker, Peter E Midford, Lisa R Moore, Pallavi Subhraveti, Socorro Gama-Castro, Victor H Tierrafria, Paloma Lara, Luis Muñiz-Rascado, César Bonavides-Martinez, Alberto Santos-Zavaleta, Amanda Mackie, Gwanggyu Sun, Travis A Ahn-Horst, Heejo Choi, Markus W Covert, Julio Collado-Vides, Ian Paulsen","doi":"10.1128/ecosalplus.esp-0002-2023","DOIUrl":null,"url":null,"abstract":"<p><p>EcoCyc is a bioinformatics database available online at EcoCyc.org that describes the genome and the biochemical machinery of <i>Escherichia coli</i> K-12 MG1655. The long-term goal of the project is to describe the complete molecular catalog of the <i>E. coli</i> cell, as well as the functions of each of its molecular parts, to facilitate a system-level understanding of <i>E. coli</i>. EcoCyc is an electronic reference source for <i>E. coli</i> biologists and for biologists who work with related microorganisms. The database includes information pages on each <i>E. coli</i> gene product, metabolite, reaction, operon, and metabolic pathway. The database also includes information on the regulation of gene expression, <i>E. coli</i> gene essentiality, and nutrient conditions that do or do not support the growth of <i>E. coli</i>. 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.</p>","PeriodicalId":11500,"journal":{"name":"EcoSal Plus","volume":"1 1","pages":"eesp00022023"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10729931/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EcoSal Plus","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1128/ecosalplus.esp-0002-2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/5/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
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.
EcoSal PlusImmunology and Microbiology-Microbiology
CiteScore
12.20
自引率
0.00%
发文量
4
期刊介绍:
EcoSal Plus is the authoritative online review journal that publishes an ever-growing body of expert reviews covering virtually all aspects of E. coli, Salmonella, and other members of the family Enterobacteriaceae and their use as model microbes for biological explorations. This journal is intended primarily for the research community as a comprehensive and continuously updated archive of the entire corpus of knowledge about the enteric bacterial cell. Thoughtful reviews focus on physiology, metabolism, genetics, pathogenesis, ecology, genomics, systems biology, and history E. coli and its relatives. These provide the integrated background needed for most microbiology investigations and are essential reading for research scientists. Articles contain links to E. coli K12 genes on the EcoCyc database site and are available as downloadable PDF files. Images and tables are downloadable to PowerPoint files.