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QSAR study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms
The hydrolysis activities of three alkaline lipases, L-A1, L-A2 and L-A3 secreted by different lipase-producing microorganisms isolated from the Bay of Bohai, P. R. China were characterized with 16 kinds of esters. It was found that all the lipases have the ability to catalyze the hydrolysis of the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567427/ https://www.ncbi.nlm.nih.gov/pubmed/23016923 http://dx.doi.org/10.1186/1476-511X-11-124 |
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author | Wang, Haikuan Wang, Xiaojie Li, Xiaolu Zhang, Yehong Dai, Yujie Guo, Changlu Zheng, Heng |
author_facet | Wang, Haikuan Wang, Xiaojie Li, Xiaolu Zhang, Yehong Dai, Yujie Guo, Changlu Zheng, Heng |
author_sort | Wang, Haikuan |
collection | PubMed |
description | The hydrolysis activities of three alkaline lipases, L-A1, L-A2 and L-A3 secreted by different lipase-producing microorganisms isolated from the Bay of Bohai, P. R. China were characterized with 16 kinds of esters. It was found that all the lipases have the ability to catalyze the hydrolysis of the glycerides, methyl esters, ethyl esters, especially for triglycerides, which shows that they have broad substrate spectra, and this property is very important for them to be used in detergent industry. Three QSAR models were built for L-A1, L-A2 and L-A3 respectively with GFA using Discovery studio 2.1. The models equations 1, 2 and 3 can explain 95.80%, 97.45% and 97.09% of the variances (R(2)(adj)) respectively while they could predict 95.44%, 89.61% and 93.41% of the variances (R(2)(cv)) respectively. With these models the hydrolysis activities of these lipases to mixed esters were predicted and the result showed that the predicted values are in good agreement with the measured values, which indicates that this method can be used as a simple tool to predict the lipase activities for single or mixed esters. |
format | Online Article Text |
id | pubmed-3567427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35674272013-02-08 QSAR study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms Wang, Haikuan Wang, Xiaojie Li, Xiaolu Zhang, Yehong Dai, Yujie Guo, Changlu Zheng, Heng Lipids Health Dis Research The hydrolysis activities of three alkaline lipases, L-A1, L-A2 and L-A3 secreted by different lipase-producing microorganisms isolated from the Bay of Bohai, P. R. China were characterized with 16 kinds of esters. It was found that all the lipases have the ability to catalyze the hydrolysis of the glycerides, methyl esters, ethyl esters, especially for triglycerides, which shows that they have broad substrate spectra, and this property is very important for them to be used in detergent industry. Three QSAR models were built for L-A1, L-A2 and L-A3 respectively with GFA using Discovery studio 2.1. The models equations 1, 2 and 3 can explain 95.80%, 97.45% and 97.09% of the variances (R(2)(adj)) respectively while they could predict 95.44%, 89.61% and 93.41% of the variances (R(2)(cv)) respectively. With these models the hydrolysis activities of these lipases to mixed esters were predicted and the result showed that the predicted values are in good agreement with the measured values, which indicates that this method can be used as a simple tool to predict the lipase activities for single or mixed esters. BioMed Central 2012-09-28 /pmc/articles/PMC3567427/ /pubmed/23016923 http://dx.doi.org/10.1186/1476-511X-11-124 Text en Copyright ©2012 Wang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Wang, Haikuan Wang, Xiaojie Li, Xiaolu Zhang, Yehong Dai, Yujie Guo, Changlu Zheng, Heng QSAR study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms |
title | QSAR study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms |
title_full | QSAR study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms |
title_fullStr | QSAR study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms |
title_full_unstemmed | QSAR study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms |
title_short | QSAR study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms |
title_sort | qsar study and the hydrolysis activity prediction of three alkaline lipases from different lipase-producing microorganisms |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567427/ https://www.ncbi.nlm.nih.gov/pubmed/23016923 http://dx.doi.org/10.1186/1476-511X-11-124 |
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