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A Computational Methodology to Screen Activities of Enzyme Variants
We present a fast computational method to efficiently screen enzyme activity. In the presented method, the effect of mutations on the barrier height of an enzyme-catalysed reaction can be computed within 24 hours on roughly 10 processors. The methodology is based on the PM6 and MOZYME methods as imp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524253/ https://www.ncbi.nlm.nih.gov/pubmed/23284627 http://dx.doi.org/10.1371/journal.pone.0049849 |
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author | Hediger, Martin R. De Vico, Luca Svendsen, Allan Besenmatter, Werner Jensen, Jan H. |
author_facet | Hediger, Martin R. De Vico, Luca Svendsen, Allan Besenmatter, Werner Jensen, Jan H. |
author_sort | Hediger, Martin R. |
collection | PubMed |
description | We present a fast computational method to efficiently screen enzyme activity. In the presented method, the effect of mutations on the barrier height of an enzyme-catalysed reaction can be computed within 24 hours on roughly 10 processors. The methodology is based on the PM6 and MOZYME methods as implemented in MOPAC2009, and is tested on the first step of the amide hydrolysis reaction catalyzed by the Candida Antarctica lipase B (CalB) enzyme. The barrier heights are estimated using adiabatic mapping and shown to give barrier heights to within 3 kcal/mol of B3LYP/6-31G(d)//RHF/3-21G results for a small model system. Relatively strict convergence criteria (0.5 kcal/(molÅ)), long NDDO cutoff distances within the MOZYME method (15 Å) and single point evaluations using conventional PM6 are needed for reliable results. The generation of mutant structures and subsequent setup of the semiempirical calculations are automated so that the effect on barrier heights can be estimated for hundreds of mutants in a matter of weeks using high performance computing. |
format | Online Article Text |
id | pubmed-3524253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35242532013-01-02 A Computational Methodology to Screen Activities of Enzyme Variants Hediger, Martin R. De Vico, Luca Svendsen, Allan Besenmatter, Werner Jensen, Jan H. PLoS One Research Article We present a fast computational method to efficiently screen enzyme activity. In the presented method, the effect of mutations on the barrier height of an enzyme-catalysed reaction can be computed within 24 hours on roughly 10 processors. The methodology is based on the PM6 and MOZYME methods as implemented in MOPAC2009, and is tested on the first step of the amide hydrolysis reaction catalyzed by the Candida Antarctica lipase B (CalB) enzyme. The barrier heights are estimated using adiabatic mapping and shown to give barrier heights to within 3 kcal/mol of B3LYP/6-31G(d)//RHF/3-21G results for a small model system. Relatively strict convergence criteria (0.5 kcal/(molÅ)), long NDDO cutoff distances within the MOZYME method (15 Å) and single point evaluations using conventional PM6 are needed for reliable results. The generation of mutant structures and subsequent setup of the semiempirical calculations are automated so that the effect on barrier heights can be estimated for hundreds of mutants in a matter of weeks using high performance computing. Public Library of Science 2012-12-17 /pmc/articles/PMC3524253/ /pubmed/23284627 http://dx.doi.org/10.1371/journal.pone.0049849 Text en © 2012 Hediger 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hediger, Martin R. De Vico, Luca Svendsen, Allan Besenmatter, Werner Jensen, Jan H. A Computational Methodology to Screen Activities of Enzyme Variants |
title | A Computational Methodology to Screen Activities of Enzyme Variants |
title_full | A Computational Methodology to Screen Activities of Enzyme Variants |
title_fullStr | A Computational Methodology to Screen Activities of Enzyme Variants |
title_full_unstemmed | A Computational Methodology to Screen Activities of Enzyme Variants |
title_short | A Computational Methodology to Screen Activities of Enzyme Variants |
title_sort | computational methodology to screen activities of enzyme variants |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524253/ https://www.ncbi.nlm.nih.gov/pubmed/23284627 http://dx.doi.org/10.1371/journal.pone.0049849 |
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