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Enzyme classification using complex dynamic hemithioacetal systems
A complex dynamic hemithioacetal system was generated for the evaluation of lipase reactivities in organic media. In combination with pattern recognition methodology, twelve different lipases were successfully classified into four distinct groups following their reaction selectivities and reactiviti...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820758/ https://www.ncbi.nlm.nih.gov/pubmed/26987550 http://dx.doi.org/10.1039/c6cc01823h |
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author | Zhang, Yan Jayawardena, H. Surangi N. Yan, Mingdi Ramström, Olof |
author_facet | Zhang, Yan Jayawardena, H. Surangi N. Yan, Mingdi Ramström, Olof |
author_sort | Zhang, Yan |
collection | PubMed |
description | A complex dynamic hemithioacetal system was generated for the evaluation of lipase reactivities in organic media. In combination with pattern recognition methodology, twelve different lipases were successfully classified into four distinct groups following their reaction selectivities and reactivities. A probe lipase was further categorized using the training matrix with predicted reactivity. |
format | Online Article Text |
id | pubmed-4820758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-48207582016-04-25 Enzyme classification using complex dynamic hemithioacetal systems Zhang, Yan Jayawardena, H. Surangi N. Yan, Mingdi Ramström, Olof Chem Commun (Camb) Chemistry A complex dynamic hemithioacetal system was generated for the evaluation of lipase reactivities in organic media. In combination with pattern recognition methodology, twelve different lipases were successfully classified into four distinct groups following their reaction selectivities and reactivities. A probe lipase was further categorized using the training matrix with predicted reactivity. Royal Society of Chemistry 2016-04-11 2016-03-18 /pmc/articles/PMC4820758/ /pubmed/26987550 http://dx.doi.org/10.1039/c6cc01823h Text en This journal is © The Royal Society of Chemistry 2016 http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Chemistry Zhang, Yan Jayawardena, H. Surangi N. Yan, Mingdi Ramström, Olof Enzyme classification using complex dynamic hemithioacetal systems |
title | Enzyme classification using complex dynamic hemithioacetal systems
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title_full | Enzyme classification using complex dynamic hemithioacetal systems
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title_fullStr | Enzyme classification using complex dynamic hemithioacetal systems
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title_full_unstemmed | Enzyme classification using complex dynamic hemithioacetal systems
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title_short | Enzyme classification using complex dynamic hemithioacetal systems
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title_sort | enzyme classification using complex dynamic hemithioacetal systems |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820758/ https://www.ncbi.nlm.nih.gov/pubmed/26987550 http://dx.doi.org/10.1039/c6cc01823h |
work_keys_str_mv | AT zhangyan enzymeclassificationusingcomplexdynamichemithioacetalsystems AT jayawardenahsurangin enzymeclassificationusingcomplexdynamichemithioacetalsystems AT yanmingdi enzymeclassificationusingcomplexdynamichemithioacetalsystems AT ramstromolof enzymeclassificationusingcomplexdynamichemithioacetalsystems |