4.8 Article

The University of Minnesota Pathway Prediction System: multi-level prediction and visualization

期刊

NUCLEIC ACIDS RESEARCH
卷 39, 期 -, 页码 W406-W411

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkr200

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  1. U.S. National Science Foundation [NSF0543416]
  2. Minnesota Supercomputing Institute
  3. University of Minnesota

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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.

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