| Literature DB >> 12767164 |
Bo Kyeng Hou1, Lawrence P Wackett, Lynda B M Ellis.
Abstract
We have developed a system to predict microbial catabolism, using the University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD, http://umbbd.ahc.umn.edu/) as a knowledge base. The present system, available on the Web (http://umbbd.ahc.umn.edu/predict/), can predict biodegradation of most of the major aliphatic and aromatic organic functional groups containing C, H, N, O, and halogens. It can duplicate at least one known biodegradation pathway for 60% of the compounds in a 84-member validation set; most pathways that did not completely duplicate known metabolism could plausibly occur in nature. Users are encouraged, and have begun, to submit additional biotransformation rules and comment on existing rules; the system will further develop under the direction of the scientific community.Entities:
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Year: 2003 PMID: 12767164 DOI: 10.1021/ci034018f
Source DB: PubMed Journal: J Chem Inf Comput Sci ISSN: 0095-2338