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

被引:74
作者
Gao, Junfeng [2 ]
Ellis, Lynda B. M. [1 ]
Wackett, Lawrence P. [3 ]
机构
[1] Univ Minnesota, Dept Lab Med & Pathol, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Inst Hlth Informat, Minneapolis, MN 55455 USA
[3] Univ Minnesota, Dept Biochem Mol Biol & Biophys, St Paul, MN 55108 USA
基金
美国国家科学基金会;
关键词
D O I
10.1093/nar/gkr200
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:W406 / W411
页数:6
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