title: The University of Minnesota Pathway Prediction System: multi-level prediction and visualization.
abstract: The University of Minnesota Pathway Prediction System (UM-PPS, http://umbbd.msi.umn.edu/predict/) is a rule-based system that predicts microbial catabolism of organic compounds. Currently, its knowledge base contains 250 biotransformation rules and five types of metabolic logic entities. The original UM-PPS predicted up to two prediction levels at a time. Users had to choose a predicted product to continue the prediction. This approach provided a limited view of prediction results and heavily relied on manual intervention. The new UM-PPS produces a multi-level prediction within an acceptable time frame, and allows users to view prediction alternatives much more easily as a directed acyclic graph.
authors.affiliation: Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA.
authors.forename: Junfeng
authors.initials: J
authors.lastname: Gao
authors.forename: Lynda B M
authors.initials: LB
authors.lastname: Ellis
authors.forename: Lawrence P
authors.initials: LP
authors.lastname: Wackett
mesh_terms: D001711:Biotransformation; D003196:Computer Graphics; D016208:Databases, Factual; D004783:Environmental Microbiology; D051188:Knowledge Bases; D009930:Organic Chemicals / Q000378:metabolism; D012984:Software
chemical_list: D009930:Organic Chemicals