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  Combination of computational prescreening and experimental library construction can accelerate enzyme optimization by directed evolution

Funcke, S. A., Otte, N., Eggert, T., Bocola, M., Jaeger, K.-E., & Thiel, W. (2005). Combination of computational prescreening and experimental library construction can accelerate enzyme optimization by directed evolution. Protein Engineering Design & Selection, 18(11), 509-514. doi: 10.1093/protein/gzi062.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-94D7-0 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-001A-32E8-4
Genre: Journal Article

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 Creators:
Funcke, S. A.1, Author
Otte, N.2, Author           
Eggert, T.1, Author
Bocola, M.2, Author           
Jaeger, K.-E.1, Author
Thiel, W.2, Author           
Affiliations:
1Univ Düsseldorf, Forschungszentrum Jülich, Inst Mol Enzymetechnol, D-52426 Jülich, Germany, ou_persistent22              
2Research Department Thiel, Max-Planck-Institut für Kohlenforschung, Max Planck Society, ou_1445590              

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Free keywords: directed evolution; enantioselectivity; molecular modeling; QM/MM calculation; saturation mutagenesis
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Language(s): eng - English
 Dates: 2005
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 265304
ISI: 000233432800001
DOI: 10.1093/protein/gzi062
 Degree: -

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Title: Protein Engineering Design & Selection
  Alternative Title : Protein Eng. Des. Sel.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 18 (11) Sequence Number: - Start / End Page: 509 - 514 Identifier: ISSN: 1741-0126