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

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 origina...

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Detalles Bibliográficos
Autores principales: Gao, Junfeng, Ellis, Lynda B. M., Wackett, Lawrence P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125723/
https://www.ncbi.nlm.nih.gov/pubmed/21486753
http://dx.doi.org/10.1093/nar/gkr200
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author Gao, Junfeng
Ellis, Lynda B. M.
Wackett, Lawrence P.
author_facet Gao, Junfeng
Ellis, Lynda B. M.
Wackett, Lawrence P.
author_sort Gao, Junfeng
collection PubMed
description 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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spelling pubmed-31257232011-07-05 The University of Minnesota Pathway Prediction System: multi-level prediction and visualization Gao, Junfeng Ellis, Lynda B. M. Wackett, Lawrence P. Nucleic Acids Res Articles 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. Oxford University Press 2011-07-01 2011-04-12 /pmc/articles/PMC3125723/ /pubmed/21486753 http://dx.doi.org/10.1093/nar/gkr200 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Gao, Junfeng
Ellis, Lynda B. M.
Wackett, Lawrence P.
The University of Minnesota Pathway Prediction System: multi-level prediction and visualization
title The University of Minnesota Pathway Prediction System: multi-level prediction and visualization
title_full The University of Minnesota Pathway Prediction System: multi-level prediction and visualization
title_fullStr The University of Minnesota Pathway Prediction System: multi-level prediction and visualization
title_full_unstemmed The University of Minnesota Pathway Prediction System: multi-level prediction and visualization
title_short The University of Minnesota Pathway Prediction System: multi-level prediction and visualization
title_sort university of minnesota pathway prediction system: multi-level prediction and visualization
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125723/
https://www.ncbi.nlm.nih.gov/pubmed/21486753
http://dx.doi.org/10.1093/nar/gkr200
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