More than just K-12 MG1655
More than 500 E. coli strain databases are available via the "Change Current Database" button above. They are less curated than EcoCyc but work with all our website tools, from Omics Dashboard to metabolic route search.
Hazards of the Gut Habitat: Bile
Bile acids are secreted into the intestine, where they promote digestion and absorption of dietary fats. Bile salts are able to diffuse across the inner membrane of E. coli and are cytotoxic. The MdtM antiporter contributes significantly to E. coli's resistance to bile salts, which may represent the natural substrate of this inner membrane transporter.
Cascade to the Rescue!
From protecting E. coli against phage infection to the promise of gene therapy: How does Cascade do it? Recent crystal structures of the enzyme are improving our understanding of this enzyme.
A quantitative metabolic model for E. coli K-12 derived from EcoCyc is available.
Maintaining the Outer Membrane
The 5-subunit Bam complex is responsible for the assembly and insertion of beta-barrel proteins into the OM of E. coli. Although a full understanding of its function in beta-barrel folding remains elusive, recent work has yielded many insights into subunit interaction and activity.
Metabolomics Data Analysis
Multiple tools are available in this website for metabolomics data analysis.
Comparative Genome Analysis
Multiple comparative analysis tools are available in this website.
EcoCyc E. coli DatabaseEcoCyc is a scientific database for the bacterium Escherichia coli K-12 MG1655. The EcoCyc project performs literature-based curation of its genome, and of transcriptional regulation, transporters, and metabolic pathways.
EcoCyc is part of the larger BioCyc collection of thousands of Pathway/Genome Databases for sequenced genomes. Click "Change Current Database" above to explore the available databases.
New to EcoCyc? Take the guided tour of the EcoCyc.org Web site, watch our free online instructional videos, or read our article in EcoSal: "The EcoCyc Database".
Tutorial #1: Introduction to BioCyc
These six sequential segments, giving you a guided tour of the BioCyc collection in concise bites. To download or view, just click on one of the links following each segment's name.
- BioCyc Overview (14:04) [mp4 video] or [YouTube]
- Searching in BioCyc (17:00) [mp4 video] or [YouTube]
- Genome Browsing, Searching, and Alignment (15:38) [mp4 video] or [YouTube]
- Pathways (13:19) [mp4 video] or [YouTube]
- Reactions (3:37) [mp4 video] or [YouTube]
- Compounds (6:42) [mp4 video] or [YouTube]
Tutorial #2: Introduction to SmartTables
The following tutorial will guide you through SmartTables, which enable you to create, upload, share, and analyze sets of genes, metabolites, pathways, and sequence sites. The tutorial is broken up into parts, ranging from basic operations to more advanced uses such as gene expression analysis and metabolomics. To download or view, click one of the links below.
- Part 1: SmartTables Overview (4:30) [mp4 video] or [YouTube]
- Part 2: SmartTables Basics (12:43) [QuickTime Video]
- Part 3: SmartTables Transformations (8:08) [QuickTime Video]
- Part 4: SmartTables Import and Export (9:00) [QuickTime Video]
- Part 5: SmartTables Gene Expression Analysis (7:40) [QuickTime Video]
- Part 6: Metabolomics Analysis with SmartTables (6:45) [QuickTime Video]
Tutorial #3: Zoomable Metabolic Map, Comparative Tools, Regulatory Network
This tutorial introduces users to many of the advanced tools available on the BioCyc.org website for navigating cellular networks, analyzing large-scale datasets, and comparing organisms.
- Part 1: The Cellular Overview: Navigating metabolic networks (17:15) [mp4 video] or [QuickTime Video] or [YouTube]
- Part 2: Comparative Genomics (21:06) [Windows Media Video] or [QuickTime Video]
- Part 3: Ortholog Viewing (10:02) [Windows Media Video] or [QuickTime Video]
- Part 4: The Regulatory Overview -- exploring transcriptional regulatory networks (15:21) [mp4 video] or [YouTube]
Tutorial #4: Omics Data Analysis
This tutorial will show you how to use BioCyc's tools for omics data analysis, including the cellular omics viewer, the omics dashboard, and other tools.
- Transcriptomics Analysis Tools [brief tour (2:40) mp4 video or YouTube] [detailed tutorial (21:36) mp4 video or YouTube]
- Metabolomics Analysis Tools [brief tour (3:26) mp4 video or YouTube] [detailed tutorial (24:09) mp4 video or YouTube]
- Omics Dashboard Part 1 (16:35) [mp4 video], or [YouTube]
- Omics Dashboard Part 2 (24:29) [mp4 video], or [YouTube]
Tutorial #5: Pathway Collages
Pathway collages are multi-pathway diagrams that you can customize by, for example, overlaying omics data, altering the relative positions of pathways, and modifying connections among pathways. Learn how to generate, customize and export high-quality pathway-collage diagrams showing collections of user-specified pathways.
Tutorial #6: Creating a Pathway/Genome Database
Learn the entire process of building a BioCyc-like Pathway/Genome Database (PGDB) for an organism with a sequenced and annotated genome. Build a PGDB for your own lab or for the whole scientific community.
- Part 1A: Introduction to Database Building and Pathologic (14:04) [MP4 Video] or [YouTube]
- Part 1B: Building a Database: Detailed Pathologic Example (23:53) [MP4 Video] or [YouTube]
- Part 2A: General Editing Strategies (8:00) [Windows Media Video] or [QuickTime Video] or [YouTube]
- Part 2B: Creating and Editing Reactions and Compounds (17:32) [Windows Media Video] or [QuickTime Video] or [YouTube]
- Part 2C: Updating Proteins, Citations, GO Terms, and Enzymatic Reactions (26:10) [Windows Media Video] or [QuickTime Video] or [YouTube]
- Part 2D: Making and Editing Pathways (9:42) [Windows Media Video] or [QuickTime Video] or [YouTube]
Tutorial #7: Using the Structured Advanced Query Page
An introduction to the Structured Advanced Query Page, which allows complex queries and queries across one or more databases in the BioCyc collection. You'll learn about:The basic steps of setting up an advanced query; Four examples of increasingly complex queries, including how to query across multiple databases; Where to learn more about the structure of BioCyc databases.