Improving infrastructure for pathway prediction.
The UM-BBD Pathway Prediction System (UM-PPS, http://umbbd.msi.umn.edu/predict/) predicts microbial catabolism of organic compounds. We improved UM-PPS infrastructure to improve pathway prediction results. We added the ability to allow relative reasoning and variable aerobic likelihood. One relative reasoning entry decreased choices 75% with no loss of sensitivity. Variable aerobic likelihood gives more accurate likelihood for rules triggered by substrates with certain chemical structures. Predictions are improved.
Gao
Junfeng
J
Health Informatics Division, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA.
Ellis
Lynda B M
LB
D000465:Algorithms; D001420:Bacteria, Aerobic / Q000378:metabolism*; D003198:Computer Simulation; D008660:Metabolism; D008910:Minnesota; D008954:Models, Biological; D009930:Organic Chemicals / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*
D009930:Organic Chemicals