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PathPred: an enzyme-catalyzed metabolic pathway prediction server
The KEGG RPAIR database is a collection of biochemical structure transformation patterns, called RDM patterns, and chemical structure alignments of substrate-product pairs (reactant pairs) in all known enzyme-catalyzed reactions taken from the Enzyme Nomenclature and the KEGG PATHWAY database. Here,...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896155/ https://www.ncbi.nlm.nih.gov/pubmed/20435670 http://dx.doi.org/10.1093/nar/gkq318 |
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author | Moriya, Yuki Shigemizu, Daichi Hattori, Masahiro Tokimatsu, Toshiaki Kotera, Masaaki Goto, Susumu Kanehisa, Minoru |
author_facet | Moriya, Yuki Shigemizu, Daichi Hattori, Masahiro Tokimatsu, Toshiaki Kotera, Masaaki Goto, Susumu Kanehisa, Minoru |
author_sort | Moriya, Yuki |
collection | PubMed |
description | The KEGG RPAIR database is a collection of biochemical structure transformation patterns, called RDM patterns, and chemical structure alignments of substrate-product pairs (reactant pairs) in all known enzyme-catalyzed reactions taken from the Enzyme Nomenclature and the KEGG PATHWAY database. Here, we present PathPred (http://www.genome.jp/tools/pathpred/), a web-based server to predict plausible pathways of muti-step reactions starting from a query compound, based on the local RDM pattern match and the global chemical structure alignment against the reactant pair library. In this server, we focus on predicting pathways for microbial biodegradation of environmental compounds and biosynthesis of plant secondary metabolites, which correspond to characteristic RDM patterns in 947 and 1397 reactant pairs, respectively. The server provides transformed compounds and reference transformation patterns in each predicted reaction, and displays all predicted multi-step reaction pathways in a tree-shaped graph. |
format | Text |
id | pubmed-2896155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28961552010-07-02 PathPred: an enzyme-catalyzed metabolic pathway prediction server Moriya, Yuki Shigemizu, Daichi Hattori, Masahiro Tokimatsu, Toshiaki Kotera, Masaaki Goto, Susumu Kanehisa, Minoru Nucleic Acids Res Articles The KEGG RPAIR database is a collection of biochemical structure transformation patterns, called RDM patterns, and chemical structure alignments of substrate-product pairs (reactant pairs) in all known enzyme-catalyzed reactions taken from the Enzyme Nomenclature and the KEGG PATHWAY database. Here, we present PathPred (http://www.genome.jp/tools/pathpred/), a web-based server to predict plausible pathways of muti-step reactions starting from a query compound, based on the local RDM pattern match and the global chemical structure alignment against the reactant pair library. In this server, we focus on predicting pathways for microbial biodegradation of environmental compounds and biosynthesis of plant secondary metabolites, which correspond to characteristic RDM patterns in 947 and 1397 reactant pairs, respectively. The server provides transformed compounds and reference transformation patterns in each predicted reaction, and displays all predicted multi-step reaction pathways in a tree-shaped graph. Oxford University Press 2010-07-01 2010-04-30 /pmc/articles/PMC2896155/ /pubmed/20435670 http://dx.doi.org/10.1093/nar/gkq318 Text en © The Author(s) 2010. 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 Moriya, Yuki Shigemizu, Daichi Hattori, Masahiro Tokimatsu, Toshiaki Kotera, Masaaki Goto, Susumu Kanehisa, Minoru PathPred: an enzyme-catalyzed metabolic pathway prediction server |
title | PathPred: an enzyme-catalyzed metabolic pathway prediction server |
title_full | PathPred: an enzyme-catalyzed metabolic pathway prediction server |
title_fullStr | PathPred: an enzyme-catalyzed metabolic pathway prediction server |
title_full_unstemmed | PathPred: an enzyme-catalyzed metabolic pathway prediction server |
title_short | PathPred: an enzyme-catalyzed metabolic pathway prediction server |
title_sort | pathpred: an enzyme-catalyzed metabolic pathway prediction server |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896155/ https://www.ncbi.nlm.nih.gov/pubmed/20435670 http://dx.doi.org/10.1093/nar/gkq318 |
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