Suppr超能文献

EcoCyc数据库。

The EcoCyc Database.

作者信息

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

机构信息

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

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

出版信息

EcoSal Plus. 2018 Nov;8(1). doi: 10.1128/ecosalplus.ESP-0006-2018.

Abstract

EcoCyc is a bioinformatics database available at EcoCyc.org that describes the genome and the biochemical machinery of K-12 MG1655. The long-term goal of the project is to describe the complete molecular catalog of the cell, as well as the functions of each of its molecular parts, to facilitate a system-level understanding of . EcoCyc is an electronic reference source for biologists and for biologists who work with related microorganisms. The database includes information pages on each gene product, metabolite, reaction, operon, and metabolic pathway. The database also includes information on gene essentiality and on nutrient conditions that do or do not support the growth of . 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 and can be executed via EcoCyc.org. The model can predict metabolic flux rates, nutrient uptake rates, and growth rates for different gene knockouts and nutrient conditions. This review outlines the data content of EcoCyc and of the procedures by which this content is generated.

摘要

EcoCyc是一个可在EcoCyc.org上获取的生物信息学数据库,它描述了K - 12 MG1655的基因组和生化机制。该项目的长期目标是描述细胞完整的分子目录及其每个分子部分的功能,以促进对其进行系统层面的理解。EcoCyc是生物学家以及研究相关微生物的生物学家的电子参考资源。该数据库包括关于每个基因产物、代谢物、反应、操纵子和代谢途径的信息页面。该数据库还包括有关基因必需性以及支持或不支持其生长的营养条件的信息。该网站和可下载软件包含用于分析高通量数据集的工具。此外,从EcoCyc的每个新版本生成一个稳态代谢通量模型,可通过EcoCyc.org执行。该模型可以预测不同基因敲除和营养条件下的代谢通量率、营养物质摄取率和生长速率。本综述概述了EcoCyc的数据内容以及生成这些内容的程序。

相似文献

1
The EcoCyc Database.
EcoSal Plus. 2018 Nov;8(1). doi: 10.1128/ecosalplus.ESP-0006-2018.
2
The EcoCyc Database (2023).
EcoSal Plus. 2023 Dec 12;11(1):eesp00022023. doi: 10.1128/ecosalplus.esp-0002-2023. Epub 2023 May 11.
3
The EcoCyc Database.
EcoSal Plus. 2014 May;6(1). doi: 10.1128/ecosalplus.ESP-0009-2013.
4
EcoCyc: a comprehensive database resource for Escherichia coli.
Nucleic Acids Res. 2005 Jan 1;33(Database issue):D334-7. doi: 10.1093/nar/gki108.
5
The EcoCyc database: reflecting new knowledge about Escherichia coli K-12.
Nucleic Acids Res. 2017 Jan 4;45(D1):D543-D550. doi: 10.1093/nar/gkw1003. Epub 2016 Nov 28.
7
EcoCyc: a comprehensive database of Escherichia coli biology.
Nucleic Acids Res. 2011 Jan;39(Database issue):D583-90. doi: 10.1093/nar/gkq1143. Epub 2010 Nov 21.
8
Multidimensional annotation of the Escherichia coli K-12 genome.
Nucleic Acids Res. 2007;35(22):7577-90. doi: 10.1093/nar/gkm740. Epub 2007 Oct 16.
9
EcoCyc: fusing model organism databases with systems biology.
Nucleic Acids Res. 2013 Jan;41(Database issue):D605-12. doi: 10.1093/nar/gks1027. Epub 2012 Nov 9.
10
The EcoCyc Database.
Nucleic Acids Res. 2002 Jan 1;30(1):56-8. doi: 10.1093/nar/30.1.56.

引用本文的文献

3
Proteome-Wide Assessment of Protein Structural Perturbations Under High Pressure.
PRX Life. 2024 Sep;2(3). doi: 10.1103/prxlife.2.033011. Epub 2024 Sep 9.
4
Control of pili synthesis and putrescine homeostasis in .
Elife. 2025 Apr 3;13:RP102439. doi: 10.7554/eLife.102439.
7
Genetic evidence for functional diversification of gram-negative intermembrane phospholipid transporters.
PLoS Genet. 2024 Jun 24;20(6):e1011335. doi: 10.1371/journal.pgen.1011335. eCollection 2024 Jun.
9
Spatio-temporal organization of the chromosome from base to cellular length scales.
EcoSal Plus. 2024 Dec 12;12(1):eesp00012022. doi: 10.1128/ecosalplus.esp-0001-2022. Epub 2024 Jun 12.
10
Why and how to use the SeqCode.
mLife. 2024 Feb 7;3(1):1-13. doi: 10.1002/mlf2.12092. eCollection 2024 Mar.

本文引用的文献

1
Transcriptome Profiling Reveals Interplay of Multifaceted Stress Response in on Exposure to Glutathione and Ciprofloxacin.
mSystems. 2018 Feb 13;3(1). doi: 10.1128/mSystems.00001-18. eCollection 2018 Jan-Feb.
2
A Map of Protein-Metabolite Interactions Reveals Principles of Chemical Communication.
Cell. 2018 Jan 11;172(1-2):358-372.e23. doi: 10.1016/j.cell.2017.12.006. Epub 2018 Jan 4.
4
RetroPath2.0: A retrosynthesis workflow for metabolic engineers.
Metab Eng. 2018 Jan;45:158-170. doi: 10.1016/j.ymben.2017.12.002. Epub 2017 Dec 9.
5
Stochastic simulation of multiscale complex systems with PISKaS: A rule-based approach.
Biochem Biophys Res Commun. 2018 Mar 29;498(2):342-351. doi: 10.1016/j.bbrc.2017.11.138. Epub 2017 Nov 21.
7
The Omics Dashboard for interactive exploration of gene-expression data.
Nucleic Acids Res. 2017 Dec 1;45(21):12113-12124. doi: 10.1093/nar/gkx910.
8
iML1515, a knowledgebase that computes Escherichia coli traits.
Nat Biotechnol. 2017 Oct 11;35(10):904-908. doi: 10.1038/nbt.3956.
9
Global transcriptional regulatory network for robustly connects gene expression to transcription factor activities.
Proc Natl Acad Sci U S A. 2017 Sep 19;114(38):10286-10291. doi: 10.1073/pnas.1702581114. Epub 2017 Sep 5.
10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验