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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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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. |
format | Online Article Text |
id | pubmed-3125723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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