Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: De novo enzymes by computational design
Authors: Kries, Hajo
Blomberg, Rebecca
Hilvert, Donald
DOI: 10.1016/j.cbpa.2013.02.012
Published in: Current Opinion in Chemical Biology
Volume(Issue): 17
Issue: 2
Pages: 221
Pages to: 228
Issue Date: 2013
Publisher / Ed. Institution: Elsevier
ISSN: 1367-5931
1879-0402
Language: English
Subjects: Algorithms; Computational biology; Directed molecular evolution; Enzymes; Protein engineering
Subject (DDC): 004: Computer science
660.6: Biotechnology
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.
URI: https://digitalcollection.zhaw.ch/handle/11475/9662
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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