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CADEE: Computer-Aided Directed Evolution of Enzymes
The tremendous interest in enzymes as biocatalysts has led to extensive work in enzyme engineering, as well as associated methodology development. Here, a new framework for computer-aided directed evolution of enzymes (CADEE) is presented which allows a drastic reduction in the time necessary to pre...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331465/ https://www.ncbi.nlm.nih.gov/pubmed/28250941 http://dx.doi.org/10.1107/S2052252516018017 |
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author | Amrein, Beat Anton Steffen-Munsberg, Fabian Szeler, Ireneusz Purg, Miha Kulkarni, Yashraj Kamerlin, Shina Caroline Lynn |
author_facet | Amrein, Beat Anton Steffen-Munsberg, Fabian Szeler, Ireneusz Purg, Miha Kulkarni, Yashraj Kamerlin, Shina Caroline Lynn |
author_sort | Amrein, Beat Anton |
collection | PubMed |
description | The tremendous interest in enzymes as biocatalysts has led to extensive work in enzyme engineering, as well as associated methodology development. Here, a new framework for computer-aided directed evolution of enzymes (CADEE) is presented which allows a drastic reduction in the time necessary to prepare and analyze in silico semi-automated directed evolution of enzymes. A pedagogical example of the application of CADEE to a real biological system is also presented in order to illustrate the CADEE workflow. |
format | Online Article Text |
id | pubmed-5331465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-53314652017-03-01 CADEE: Computer-Aided Directed Evolution of Enzymes Amrein, Beat Anton Steffen-Munsberg, Fabian Szeler, Ireneusz Purg, Miha Kulkarni, Yashraj Kamerlin, Shina Caroline Lynn IUCrJ Research Papers The tremendous interest in enzymes as biocatalysts has led to extensive work in enzyme engineering, as well as associated methodology development. Here, a new framework for computer-aided directed evolution of enzymes (CADEE) is presented which allows a drastic reduction in the time necessary to prepare and analyze in silico semi-automated directed evolution of enzymes. A pedagogical example of the application of CADEE to a real biological system is also presented in order to illustrate the CADEE workflow. International Union of Crystallography 2017-01-01 /pmc/articles/PMC5331465/ /pubmed/28250941 http://dx.doi.org/10.1107/S2052252516018017 Text en © Beat Anton Amrein et al. 2017 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/2.0/uk/ |
spellingShingle | Research Papers Amrein, Beat Anton Steffen-Munsberg, Fabian Szeler, Ireneusz Purg, Miha Kulkarni, Yashraj Kamerlin, Shina Caroline Lynn CADEE: Computer-Aided Directed Evolution of Enzymes |
title |
CADEE: Computer-Aided Directed Evolution of Enzymes |
title_full |
CADEE: Computer-Aided Directed Evolution of Enzymes |
title_fullStr |
CADEE: Computer-Aided Directed Evolution of Enzymes |
title_full_unstemmed |
CADEE: Computer-Aided Directed Evolution of Enzymes |
title_short |
CADEE: Computer-Aided Directed Evolution of Enzymes |
title_sort | cadee: computer-aided directed evolution of enzymes |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331465/ https://www.ncbi.nlm.nih.gov/pubmed/28250941 http://dx.doi.org/10.1107/S2052252516018017 |
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