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Use of the University of Minnesota Biocatalysis/Biodegradation Database for study of microbial degradation

Author(s): Ellis Lynda BM | Wackett Lawrence P

Journal: Microbial Informatics and Experimentation
ISSN 2042-5783

Volume: 2;
Issue: 1;
Start page: 1;
Date: 2012;
Original page

Keywords: Biodegradation database | pathway prediction | microbial degradation

Abstract Microorganisms are ubiquitous on earth and have diverse metabolic transformative capabilities important for environmental biodegradation of chemicals that helps maintain ecosystem and human health. Microbial biodegradative metabolism is the main focus of the University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD). UM-BBD data has also been used to develop a computational metabolic pathway prediction system that can be applied to chemicals for which biodegradation data is currently lacking. The UM-Pathway Prediction System (UM-PPS) relies on metabolic rules that are based on organic functional groups and predicts plausible biodegradative metabolism. The predictions are useful to environmental chemists that look for metabolic intermediates, for regulators looking for potential toxic products, for microbiologists seeking to understand microbial biodegradation, and others with a wide-range of interests.
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