Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA.
Nucleic Acids Res. 2011 Jul;39(Web Server issue):W406-11. doi: 10.1093/nar/gkr200. Epub 2011 Apr 12.
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.
明尼苏达大学途径预测系统(UM-PPS,http://umbbd.msi.umn.edu/predict/)是一个基于规则的系统,用于预测微生物对有机化合物的分解代谢。目前,它的知识库包含 250 个生物转化规则和五种类型的代谢逻辑实体。原始的 UM-PPS 一次最多可以预测两个预测级别。用户必须选择一个预测产物来继续预测。这种方法提供了一个有限的预测结果视图,并且严重依赖于手动干预。新的 UM-PPS 在可接受的时间范围内生成多层次的预测,并允许用户更轻松地查看预测替代方案,作为一个有向无环图。