Literature DB >> 23647583

To get what we aim for--progress in diversity generation methods.

Anna J Ruff1, Alexander Dennig, Ulrich Schwaneberg.   

Abstract

Protein re-engineering by directed evolution has become a standard approach for tailoring enzymes in many fields of science and industry. Advances in screening formats and screening systems are fueling progress and enabling novel directed evolution strategies, despite the fact that the quality of mutant libraries can still be improved significantly. Diversity generation strategies in directed enzyme evolution comprise three options: (a) focused mutagenesis (selected residues are randomized); (b) random mutagenesis (mutations are randomly introduced over the whole gene); and (c) gene recombination (stretches of genes are mixed to chimeras in a random or rational manner). Either format has both advantages and limitations depending on the targeted enzyme and property. The quality of diverse mutant libraries plays a key role in finding improved mutants. In this review, we summarize methodological advancements and novel concepts (since 2009) in diversity generation for all three formats. Advancements are discussed with respect to the state of the art in diversity generation and high-throughput screening capabilities, as well as robustness and simplicity in use. Furthermore, limitations and remaining challenges are emphasized 'to get what we aim for' through 'optimal diversity' generation.
© 2013 FEBS.

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Year:  2013        PMID: 23647583     DOI: 10.1111/febs.12325

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  13 in total

1.  A high-throughput screening method to reengineer DNA polymerases for random mutagenesis.

Authors:  Tsvetan Kardashliev; Anna Joëlle Ruff; Jing Zhao; Ulrich Schwaneberg
Journal:  Mol Biotechnol       Date:  2014-03       Impact factor: 2.695

Review 2.  Sex in a test tube: testing the benefits of in vitro recombination.

Authors:  Diego Pesce; Niles Lehman; J Arjan G M de Visser
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-19       Impact factor: 6.237

Review 3.  Modern methods for laboratory diversification of biomolecules.

Authors:  Sinisa Bratulic; Ahmed H Badran
Journal:  Curr Opin Chem Biol       Date:  2017-11-02       Impact factor: 8.822

Review 4.  Learning from nature - novel synthetic biology approaches for biomaterial design.

Authors:  Anton V Bryksin; Ashley C Brown; Michael M Baksh; M G Finn; Thomas H Barker
Journal:  Acta Biomater       Date:  2014-01-24       Impact factor: 8.947

5.  A Robust and Versatile Method of Combinatorial Chemical Synthesis of Gene Libraries via Hierarchical Assembly of Partially Randomized Modules.

Authors:  Blagovesta Popova; Steffen Schubert; Ingo Bulla; Daniela Buchwald; Wilfried Kramer
Journal:  PLoS One       Date:  2015-09-10       Impact factor: 3.240

Review 6.  High Throughput Screening and Selection Methods for Directed Enzyme Evolution.

Authors:  Han Xiao; Zehua Bao; Huimin Zhao
Journal:  Ind Eng Chem Res       Date:  2014-10-03       Impact factor: 3.720

7.  Expression and characterization of Coprothermobacter proteolyticus alkaline serine protease.

Authors:  Tanveer Majeed; Romana Tabassum; William J Orts; Charles C Lee
Journal:  ScientificWorldJournal       Date:  2013-12-25

8.  Enzyme engineering: A synthetic biology approach for more effective library generation and automated high-throughput screening.

Authors:  Daniela Quaglia; Maximilian C C J C Ebert; Paul F Mugford; Joelle N Pelletier
Journal:  PLoS One       Date:  2017-02-08       Impact factor: 3.240

Review 9.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Authors:  Andrew Currin; Neil Swainston; Philip J Day; Douglas B Kell
Journal:  Chem Soc Rev       Date:  2015-03-07       Impact factor: 54.564

10.  In vitro flow cytometry-based screening platform for cellulase engineering.

Authors:  Georgette Körfer; Christian Pitzler; Ljubica Vojcic; Ronny Martinez; Ulrich Schwaneberg
Journal:  Sci Rep       Date:  2016-05-17       Impact factor: 4.379

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