Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://www.innatedb.com/
Full name:
Description: InnateDB is a publicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection.
Year founded: 2008
Last update: 2014-12-08
Version: v1.0
Accessibility:
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Country/Region: Canada

Classification & Tag

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Contact information

University/Institution: Simon Fraser University
Address: Department of Molecular Biology and Biochemistry,Simon Fraser University,Burnaby,BC,V5A1S6,Canada
City: Burnaby
Province/State: BC
Country/Region: Canada
Contact name (PI/Team): David J. Lynn
Contact email (PI/Helpdesk): david.lynn@teagasc.ie

Publications

23180781
InnateDB: systems biology of innate immunity and beyond--recent updates and continuing curation. [PMID: 23180781]
Breuer K, Foroushani AK, Laird MR, Chen C, Sribnaia A, Lo R, Winsor GL, Hancock RE, Brinkman FS, Lynn DJ.

InnateDB (http://www.innatedb.com) is an integrated analysis platform that has been specifically designed to facilitate systems-level analyses of mammalian innate immunity networks, pathways and genes. In this article, we provide details of recent updates and improvements to the database. InnateDB now contains >196 000 human, mouse and bovine experimentally validated molecular interactions and 3000 pathway annotations of relevance to all mammalian cellular systems (i.e. not just immune relevant pathways and interactions). In addition, the InnateDB team has, to date, manually curated in excess of 18 000 molecular interactions of relevance to innate immunity, providing unprecedented insight into innate immunity networks, pathways and their component molecules. More recently, InnateDB has also initiated the curation of allergy- and asthma-related interactions. Furthermore, we report a range of improvements to our integrated bioinformatics solutions including web service access to InnateDB interaction data using Proteomics Standards Initiative Common Query Interface, enhanced Gene Ontology analysis for innate immunity, and the availability of new network visualizations tools. Finally, the recent integration of bovine data makes InnateDB the first integrated network analysis platform for this agriculturally important model organism.

Nucleic Acids Res. 2013:41(Database issue) | 656 Citations (from Europe PMC, 2024-04-20)
18766178
InnateDB: facilitating systems-level analyses of the mammalian innate immune response. [PMID: 18766178]
Lynn DJ, Winsor GL, Chan C, Richard N, Laird MR, Barsky A, Gardy JL, Roche FM, Chan TH, Shah N, Lo R, Naseer M, Que J, Yau M, Acab M, Tulpan D, Whiteside MD, Chikatamarla A, Mah B, Munzner T, Hokamp K, Hancock RE, Brinkman FS.

Although considerable progress has been made in dissecting the signaling pathways involved in the innate immune response, it is now apparent that this response can no longer be productively thought of in terms of simple linear pathways. InnateDB (www.innatedb.ca) has been developed to facilitate systems-level analyses that will provide better insight into the complex networks of pathways and interactions that govern the innate immune response. InnateDB is a publicly available, manually curated, integrative biology database of the human and mouse molecules, experimentally verified interactions and pathways involved in innate immunity, along with centralized annotation on the broader human and mouse interactomes. To date, more than 3500 innate immunity-relevant interactions have been contextually annotated through the review of 1000 plus publications. Integrated into InnateDB are novel bioinformatics resources, including network visualization software, pathway analysis, orthologous interaction network construction and the ability to overlay user-supplied gene expression data in an intuitively displayed molecular interaction network and pathway context, which will enable biologists without a computational background to explore their data in a more systems-oriented manner.

Mol Syst Biol. 2008:4() | 232 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
215/6000 (96.433%)
Interaction:
34/982 (96.64%)
215
Total Rank
877
Citations
54.812
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
Chunlei Yu [2016-04-17]
Chunlei Yu [2015-11-20]
Chunlei Yu [2015-06-29]