{"title":"The E. coli Whole-Cell Modeling Project.","authors":"Gwanggyu Sun, Travis A Ahn-Horst, Markus W Covert","doi":"10.1128/ecosalplus.ESP-0001-2020","DOIUrl":null,"url":null,"abstract":"<p><p>The Escherichia coli whole-cell modeling project seeks to create the most detailed computational model of an E. coli cell in order to better understand and predict the behavior of this model organism. Details about the approach, framework, and current version of the model are discussed. Currently, the model includes the functions of 43% of characterized genes, with ongoing efforts to include additional data and mechanisms. As additional information is incorporated in the model, its utility and predictive power will continue to increase, which means that discovery efforts can be accelerated by community involvement in the generation and inclusion of data. This project will be an invaluable resource to the E. coli community that could be used to verify expected physiological behavior, to predict new outcomes and testable hypotheses for more efficient experimental design iterations, and to evaluate heterogeneous data sets in the context of each other through deep curation.</p>","PeriodicalId":11500,"journal":{"name":"EcoSal Plus","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11163835/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EcoSal Plus","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1128/ecosalplus.ESP-0001-2020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/7/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
The Escherichia coli whole-cell modeling project seeks to create the most detailed computational model of an E. coli cell in order to better understand and predict the behavior of this model organism. Details about the approach, framework, and current version of the model are discussed. Currently, the model includes the functions of 43% of characterized genes, with ongoing efforts to include additional data and mechanisms. As additional information is incorporated in the model, its utility and predictive power will continue to increase, which means that discovery efforts can be accelerated by community involvement in the generation and inclusion of data. This project will be an invaluable resource to the E. coli community that could be used to verify expected physiological behavior, to predict new outcomes and testable hypotheses for more efficient experimental design iterations, and to evaluate heterogeneous data sets in the context of each other through deep curation.
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.