| URL: | https://envipath.org |
| Full name: | The Environmental Contaminant Biotransformation Pathway Resource |
| Description: | enviPath is a database and prediction system for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products. |
| Year founded: | 2016 |
| Last update: | 2015-12-14 |
| Version: | v101 |
| Accessibility: |
Accessible
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| Country/Region: | Germany |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | Johannes Gutenberg University Mainz |
| Address: | |
| City: | Staudingerweg |
| Province/State: | |
| Country/Region: | Germany |
| Contact name (PI/Team): | Kathrin Fenner |
| Contact email (PI/Helpdesk): | kathrin.fenner@eawag.ch |
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enviPath--The environmental contaminant biotransformation pathway resource. [PMID: 26582924]
The University of Minnesota Biocatalysis/Biodegradation Database and Pathway Prediction System (UM-BBD/PPS) has been a unique resource covering microbial biotransformation pathways of primarily xenobiotic chemicals for over 15 years. This paper introduces the successor system, enviPath (The Environmental Contaminant Biotransformation Pathway Resource), which is a complete redesign and reimplementation of UM-BBD/PPS. enviPath uses the database from the UM-BBD/PPS as a basis, extends the use of this database, and allows users to include their own data to support multiple use cases. Relative reasoning is supported for the refinement of predictions and to allow its extensions in terms of previously published, but not implemented machine learning models. User access is simplified by providing a REST API that simplifies the inclusion of enviPath into existing workflows. An RDF database is used to enable simple integration with other databases. enviPath is publicly available at https://envipath.org with free and open access to its core data. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. |