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Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations

The data presented in this paper are related to the research article entitled “QM/MM modeling of the hydrolysis and transfructosylation reactions of fructosyltransferase from Aspergillus japonicas, an enzyme that produces prebiotic fructooligosaccharide” (Jitonnom et al., 2018) [1]. This paper prese...

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Autor principal: Jitonnom, Jitrayut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988397/
https://www.ncbi.nlm.nih.gov/pubmed/29876439
http://dx.doi.org/10.1016/j.dib.2018.01.106
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author Jitonnom, Jitrayut
author_facet Jitonnom, Jitrayut
author_sort Jitonnom, Jitrayut
collection PubMed
description The data presented in this paper are related to the research article entitled “QM/MM modeling of the hydrolysis and transfructosylation reactions of fructosyltransferase from Aspergillus japonicas, an enzyme that produces prebiotic fructooligosaccharide” (Jitonnom et al., 2018) [1]. This paper presents the procedure and data for characterizing the whole relative energy profiles of hydrolysis and transglycosylation reactions whose elementary steps differ in chemical composition. The data also reflects the choices of the QM cluster model, the functional/basis set method and the equations in determining the reaction energetics.
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spelling pubmed-59883972018-06-06 Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations Jitonnom, Jitrayut Data Brief Chemistry The data presented in this paper are related to the research article entitled “QM/MM modeling of the hydrolysis and transfructosylation reactions of fructosyltransferase from Aspergillus japonicas, an enzyme that produces prebiotic fructooligosaccharide” (Jitonnom et al., 2018) [1]. This paper presents the procedure and data for characterizing the whole relative energy profiles of hydrolysis and transglycosylation reactions whose elementary steps differ in chemical composition. The data also reflects the choices of the QM cluster model, the functional/basis set method and the equations in determining the reaction energetics. Elsevier 2018-02-07 /pmc/articles/PMC5988397/ /pubmed/29876439 http://dx.doi.org/10.1016/j.dib.2018.01.106 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Chemistry
Jitonnom, Jitrayut
Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations
title Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations
title_full Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations
title_fullStr Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations
title_full_unstemmed Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations
title_short Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations
title_sort data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by dft cluster model calculations
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988397/
https://www.ncbi.nlm.nih.gov/pubmed/29876439
http://dx.doi.org/10.1016/j.dib.2018.01.106
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