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Characterising Complex Enzyme Reaction Data

The relationship between enzyme-catalysed reactions and the Enzyme Commission (EC) number, the widely accepted classification scheme used to characterise enzyme activity, is complex and with the rapid increase in our knowledge of the reactions catalysed by enzymes needs revisiting. We present a manu...

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Autores principales: Dönertaş, Handan Melike, Martínez Cuesta, Sergio, Rahman, Syed Asad, Thornton, Janet M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4740462/
https://www.ncbi.nlm.nih.gov/pubmed/26840640
http://dx.doi.org/10.1371/journal.pone.0147952
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author Dönertaş, Handan Melike
Martínez Cuesta, Sergio
Rahman, Syed Asad
Thornton, Janet M.
author_facet Dönertaş, Handan Melike
Martínez Cuesta, Sergio
Rahman, Syed Asad
Thornton, Janet M.
author_sort Dönertaş, Handan Melike
collection PubMed
description The relationship between enzyme-catalysed reactions and the Enzyme Commission (EC) number, the widely accepted classification scheme used to characterise enzyme activity, is complex and with the rapid increase in our knowledge of the reactions catalysed by enzymes needs revisiting. We present a manual and computational analysis to investigate this complexity and found that almost one-third of all known EC numbers are linked to more than one reaction in the secondary reaction databases (e.g., KEGG). Although this complexity is often resolved by defining generic, alternative and partial reactions, we have also found individual EC numbers with more than one reaction catalysing different types of bond changes. This analysis adds a new dimension to our understanding of enzyme function and might be useful for the accurate annotation of the function of enzymes and to study the changes in enzyme function during evolution.
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spelling pubmed-47404622016-02-11 Characterising Complex Enzyme Reaction Data Dönertaş, Handan Melike Martínez Cuesta, Sergio Rahman, Syed Asad Thornton, Janet M. PLoS One Research Article The relationship between enzyme-catalysed reactions and the Enzyme Commission (EC) number, the widely accepted classification scheme used to characterise enzyme activity, is complex and with the rapid increase in our knowledge of the reactions catalysed by enzymes needs revisiting. We present a manual and computational analysis to investigate this complexity and found that almost one-third of all known EC numbers are linked to more than one reaction in the secondary reaction databases (e.g., KEGG). Although this complexity is often resolved by defining generic, alternative and partial reactions, we have also found individual EC numbers with more than one reaction catalysing different types of bond changes. This analysis adds a new dimension to our understanding of enzyme function and might be useful for the accurate annotation of the function of enzymes and to study the changes in enzyme function during evolution. Public Library of Science 2016-02-03 /pmc/articles/PMC4740462/ /pubmed/26840640 http://dx.doi.org/10.1371/journal.pone.0147952 Text en © 2016 Dönertaş et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dönertaş, Handan Melike
Martínez Cuesta, Sergio
Rahman, Syed Asad
Thornton, Janet M.
Characterising Complex Enzyme Reaction Data
title Characterising Complex Enzyme Reaction Data
title_full Characterising Complex Enzyme Reaction Data
title_fullStr Characterising Complex Enzyme Reaction Data
title_full_unstemmed Characterising Complex Enzyme Reaction Data
title_short Characterising Complex Enzyme Reaction Data
title_sort characterising complex enzyme reaction data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4740462/
https://www.ncbi.nlm.nih.gov/pubmed/26840640
http://dx.doi.org/10.1371/journal.pone.0147952
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