enviPath – The environmental contaminant biotransformation pathway resource
Author(s) -
Jörg Wicker,
Tim Lorsbach,
Martin Gütlein,
Emanuel Schmid,
Diogo A. R. S. Latino,
Stefan Krämer,
Kathrin Fenner
Publication year - 2015
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkv1229
Subject(s) - biotransformation , workflow , resource (disambiguation) , database , computer science , data integration , rdf , biology , biochemical engineering , world wide web , engineering , computer network , biochemistry , semantic web , enzyme
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.
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