|Publication type:||Article in scientific journal|
|Type of review:||Peer review (publication)|
|Title:||De novo enzymes by computational design|
|Published in:||Current Opinion in Chemical Biology|
|Publisher / Ed. Institution:||Elsevier|
|Subjects:||Algorithms; Computational biology; Directed molecular evolution; Enzymes; Protein engineering|
|Subject (DDC):||004: Computer science |
|Abstract:||Computational enzyme design has emerged as a promising tool for generating made-to-order biocatalysts. In addition to improving the reliability of the design cycle, current efforts in this area are focusing on expanding the set of catalyzed reactions and investigating the structure and mechanism of individual designs. Although the activities of de novo enzymes are typically low, they can be significantly increased by directed evolution. Analysis of their evolutionary trajectories provides valuable feedback for the design algorithms and can enhance our understanding of natural protein evolution.|
|Fulltext version:||Published version|
|License (according to publishing contract):||Licence according to publishing contract|
|Departement:||Life Sciences and Facility Management|
|Organisational Unit:||Institute of Chemistry and Biotechnology (ICBT)|
|Appears in collections:||Publikationen Life Sciences und Facility Management|
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