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The University of Minnesota Biocatalysis/Biodegradation Database: emphasizing enzymes.
L B Ellis1, C D Hershberger, E M Bryan
1Center for Biodegradation Research and Informatics, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA. lynda@tc.umn.edu
Nucleic Acids Research
|January 11, 2000
Summary
The University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD) curates microbial enzyme and metabolic pathway data. Recent enhancements improve enzyme information and pathway predictions for microbial genome annotation.
Area of Science:
- Biochemistry
- Microbiology
- Bioinformatics
Background:
- The University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD) is a curated resource for microbial catabolic enzymes and metabolic pathways.
- The database contains information on over 400 enzymes, with ongoing updates and collaborations.
Purpose of the Study:
- To enhance the UM-BBD with improved enzyme information, pathway participation details, and standardized enzyme codes.
- To expand the database with specific compilations, such as reactions of naphthalene and toluene dioxygenases.
- To support microbial genome annotation and the prediction of novel metabolic pathways.
Main Methods:
- Curating and organizing data on microbial catabolic enzymes and their metabolic pathways.
- Enhancing enzyme pages with internal/external links and pathway participation information.
- Collaborating with the Nomenclature Commission of the International Union of Biochemistry and Molecular Biology to assign EC codes.
- Compiling known reactions for specific enzymes like naphthalene and toluene dioxygenases.
Main Results:
- The UM-BBD now contains information on over 400 enzymes.
- 35 UM-BBD enzymes were assigned complete EC codes in collaboration with the Nomenclature Commission.
- Compilations of reactions for naphthalene (73) and toluene (108) dioxygenases were added.
- The UM-BBD is mirrored by the European Bioinformatics Institute and KEGG.
Conclusions:
- The UM-BBD is a valuable resource for understanding microbial metabolism and enzyme function.
- Enhancements to the database facilitate the prediction of novel metabolic pathways.
- The database plays a crucial role in current microbial genome annotation efforts.