Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kries, Hajo | - |
| dc.contributor.author | Blomberg, Rebecca | - |
| dc.contributor.author | Hilvert, Donald | - |
| dc.date.accessioned | 2018-08-24T14:27:36Z | - |
| dc.date.available | 2018-08-24T14:27:36Z | - |
| dc.date.issued | 2013 | - |
| dc.identifier.issn | 1367-5931 | de_CH |
| dc.identifier.issn | 1879-0402 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/9662 | - |
| dc.description.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. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | Elsevier | de_CH |
| dc.relation.ispartof | Current Opinion in Chemical Biology | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject | Algorithms | de_CH |
| dc.subject | Computational biology | de_CH |
| dc.subject | Directed molecular evolution | de_CH |
| dc.subject | Enzymes | de_CH |
| dc.subject | Protein engineering | de_CH |
| dc.subject.ddc | 004: Informatik | de_CH |
| dc.subject.ddc | 660.6: Biotechnologie | de_CH |
| dc.title | De novo enzymes by computational design | de_CH |
| dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | Life Sciences und Facility Management | de_CH |
| zhaw.organisationalunit | Institut für Chemie und Biotechnologie (ICBT) | de_CH |
| dc.identifier.doi | 10.1016/j.cbpa.2013.02.012 | de_CH |
| dc.identifier.pmid | 23498973 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.issue | 2 | de_CH |
| zhaw.originated.zhaw | No | de_CH |
| zhaw.pages.end | 228 | de_CH |
| zhaw.pages.start | 221 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.volume | 17 | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.webfeed | Biokatalyse | de_CH |
| Appears in collections: | Publikationen Life Sciences und Facility Management | |
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Kries, H., Blomberg, R., & Hilvert, D. (2013). De novo enzymes by computational design. Current Opinion in Chemical Biology, 17(2), 221–228. https://doi.org/10.1016/j.cbpa.2013.02.012
Kries, H., Blomberg, R. and Hilvert, D. (2013) ‘De novo enzymes by computational design’, Current Opinion in Chemical Biology, 17(2), pp. 221–228. Available at: https://doi.org/10.1016/j.cbpa.2013.02.012.
H. Kries, R. Blomberg, and D. Hilvert, “De novo enzymes by computational design,” Current Opinion in Chemical Biology, vol. 17, no. 2, pp. 221–228, 2013, doi: 10.1016/j.cbpa.2013.02.012.
KRIES, Hajo, Rebecca BLOMBERG und Donald HILVERT, 2013. De novo enzymes by computational design. Current Opinion in Chemical Biology. 2013. Bd. 17, Nr. 2, S. 221–228. DOI 10.1016/j.cbpa.2013.02.012
Kries, Hajo, Rebecca Blomberg, and Donald Hilvert. 2013. “De Novo Enzymes by Computational Design.” Current Opinion in Chemical Biology 17 (2): 221–28. https://doi.org/10.1016/j.cbpa.2013.02.012.
Kries, Hajo, et al. “De Novo Enzymes by Computational Design.” Current Opinion in Chemical Biology, vol. 17, no. 2, 2013, pp. 221–28, https://doi.org/10.1016/j.cbpa.2013.02.012.
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