The University of Minnesota Biocatalysis/Biodegradation Database: microorganisms, genomics and prediction

The University of Minnesota Database (http://www.labmed.umn.edu/umbbd/) beg ins its fifth year having met its initial goals. It contains similar to 100 pathways for microbial catabolic metabolism of primarily xenobiotic organi c compounds, including information on similar to 650 reactions, 600 compoun ds and 400 enzymes, and containing similar to 250 microorganism entries. It includes information on most known microbial catabolic reaction types and the organic functional groups they transform. Having reached its first goal s, it is ready to move beyond them. It is poised to grow in many different ways, including mirror sites; fold prediction for its sequenced enzymes; cl oser ties to genome and microbial strain databases; and the prediction of b iodegradation pathways for compounds it does not contain.