Microbial pathway prediction: A functional group approach

Bo Kyeng Hou, Lawrence P. Wackett, Lynda B.M. Ellis

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1051-1057
Number of pages7
JournalJournal of chemical information and computer sciences
Volume43
Issue number3
DOIs
StatePublished - May 2003

Fingerprint

Dive into the research topics of 'Microbial pathway prediction: A functional group approach'. Together they form a unique fingerprint.

Cite this