The EcoCyc database: reflecting new knowledge about Escherichia coli K-12
By I. Keseler, A. Mackie, Alberto Santos-Zavaleta, Richard Billington, César Bonavides-Martínez, Ron Caspi, Carol A. Fulcher, S. Gama-Castro, Anamika Kothari, Markus Krummenacker and 11 more. Nucleic Acids Res., 2016
507 citations recorded by the source corpus.
EcoCyc (EcoCyc.org) is a freely accessible, comprehensive database that collects and summarizes experimental data for Escherichia coli K-12, the best-studied bacterial model organism. New experimental discoveries about gene products, their function and regulation, new metabolic pathways, enzymes and cofactors are regularly added to EcoCyc. New SmartTable tools allow users to browse collections of related EcoCyc content. SmartTables can also serve as repositories for user- or curator-generated lists. EcoCyc now supports running and modifying E. coli metabolic models directly on the EcoCyc website.
Subfields: Ecology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/3f1f16d864f50469bfcc4cdb0ed1aa86b978fe2c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
In Molecular Biology
- Peter D. Karp
- Markus Krummenacker
- Ron Caspi
- Suzanne M. Paley
- Carol A. Fulcher
- I. Keseler
- Julio Collado-Vides
- Peter E. Midford
Citations in the corpus
- RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12 (2018, methodology): “Our curation is shared with the EcoCyc database (2), which together with RegulonDB provide the major up to date resources of organized knowledge for the best-known bacterial genome model organism.”
- A white-box machine learning approach for revealing antibiotic mechanisms of action (2019, unknown): “A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript Key Resources Table REAGENT or RESOURCE SOURCE IDENTIFIER Bacterial and Virus Strains Eschehchia coli K-12 MG1655 ATCC ATCC 700926 Chemicals”
- The MetaCyc database of metabolic pathways and enzymes (2017, methodology): “MetaCyc, as well as the EcoCyc PGDB [the PGDB for Escherichia coli K-12, (16)], remain freely available to all and do not require a subscription.”