LibGENiE : a bioinformatic pipeline for the design of information-enriched enzyme libraries ...
Enzymes are potent catalysts with high specificity and selectivity. To leverage nature's synthetic potential for industrial applications, various protein engineering techniques have emerged which allow to tailor the catalytic, biophysical, and molecular recognition properties of enzymes. Howeve...
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ftdatacite:10.21256/zhaw-29461 2024-09-15T18:01:38+00:00 LibGENiE : a bioinformatic pipeline for the design of information-enriched enzyme libraries ... Patsch, David Eichenberger, Michael Voss, Moritz Bornscheuer, Uwe T. Buller, Rebecca M. 2023 application/pdf https://dx.doi.org/10.21256/zhaw-29461 https://digitalcollection.zhaw.ch/handle/11475/29461 en eng Elsevier Bioinformatic tool Enzyme engineering Library design Sequence space 004 Informatik 660.6 Biotechnologie article-journal Journal Article Text ScholarlyArticle 2023 ftdatacite https://doi.org/10.21256/zhaw-29461 2024-07-03T10:39:58Z Enzymes are potent catalysts with high specificity and selectivity. To leverage nature's synthetic potential for industrial applications, various protein engineering techniques have emerged which allow to tailor the catalytic, biophysical, and molecular recognition properties of enzymes. However, the many possible ways a protein can be altered forces researchers to carefully balance between the exhaustiveness of an enzyme screening campaign and the required resources. Consequently, the optimal engineering strategy is often defined on a case-by-case basis. Strikingly, while predicting mutations that lead to an improved target function is challenging, here we show that the prediction and exclusion of deleterious mutations is a much more straightforward task as analyzed for an engineered carbonic acid anhydrase, a transaminase, a squalene-hopene cyclase and a Kemp eliminase. Combining such a pre-selection of allowed residues with advanced gene synthesis methods opens a path toward an efficient and generalizable ... Text Carbonic acid DataCite |
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English |
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Bioinformatic tool Enzyme engineering Library design Sequence space 004 Informatik 660.6 Biotechnologie |
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Bioinformatic tool Enzyme engineering Library design Sequence space 004 Informatik 660.6 Biotechnologie Patsch, David Eichenberger, Michael Voss, Moritz Bornscheuer, Uwe T. Buller, Rebecca M. LibGENiE : a bioinformatic pipeline for the design of information-enriched enzyme libraries ... |
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Bioinformatic tool Enzyme engineering Library design Sequence space 004 Informatik 660.6 Biotechnologie |
description |
Enzymes are potent catalysts with high specificity and selectivity. To leverage nature's synthetic potential for industrial applications, various protein engineering techniques have emerged which allow to tailor the catalytic, biophysical, and molecular recognition properties of enzymes. However, the many possible ways a protein can be altered forces researchers to carefully balance between the exhaustiveness of an enzyme screening campaign and the required resources. Consequently, the optimal engineering strategy is often defined on a case-by-case basis. Strikingly, while predicting mutations that lead to an improved target function is challenging, here we show that the prediction and exclusion of deleterious mutations is a much more straightforward task as analyzed for an engineered carbonic acid anhydrase, a transaminase, a squalene-hopene cyclase and a Kemp eliminase. Combining such a pre-selection of allowed residues with advanced gene synthesis methods opens a path toward an efficient and generalizable ... |
format |
Text |
author |
Patsch, David Eichenberger, Michael Voss, Moritz Bornscheuer, Uwe T. Buller, Rebecca M. |
author_facet |
Patsch, David Eichenberger, Michael Voss, Moritz Bornscheuer, Uwe T. Buller, Rebecca M. |
author_sort |
Patsch, David |
title |
LibGENiE : a bioinformatic pipeline for the design of information-enriched enzyme libraries ... |
title_short |
LibGENiE : a bioinformatic pipeline for the design of information-enriched enzyme libraries ... |
title_full |
LibGENiE : a bioinformatic pipeline for the design of information-enriched enzyme libraries ... |
title_fullStr |
LibGENiE : a bioinformatic pipeline for the design of information-enriched enzyme libraries ... |
title_full_unstemmed |
LibGENiE : a bioinformatic pipeline for the design of information-enriched enzyme libraries ... |
title_sort |
libgenie : a bioinformatic pipeline for the design of information-enriched enzyme libraries ... |
publisher |
Elsevier |
publishDate |
2023 |
url |
https://dx.doi.org/10.21256/zhaw-29461 https://digitalcollection.zhaw.ch/handle/11475/29461 |
genre |
Carbonic acid |
genre_facet |
Carbonic acid |
op_doi |
https://doi.org/10.21256/zhaw-29461 |
_version_ |
1810438742319562752 |