Literature DB >> 23540421

Accelerated protein engineering for chemical biotechnology via homologous recombination.

Erik M Nordwald1, Andrew Garst, Ryan T Gill, Joel L Kaar.   

Abstract

Protein engineering has traditionally relied on random mutagenesis strategies to generate diverse libraries, which require high-throughput screening or selection methods to identify rare variants. Alternatively, approaches to semi-rational library construction can be used to minimize the screening load and enhance the efficiency by which improved mutants may be identified. Such methods are typically limited to characterization of relatively few variants due to the difficulties in generating large rational libraries. New tools from synthetic biology, namely multiplexed DNA synthesis and homologous recombination, provide a promising avenue to rapidly construct large, rational libraries. These technologies also enable incorporation of synthetically encoded features that permit efficient characterization of the fitness of each mutant. Extension of these tools to protein library design could complement rational protein design cycles in an effort to more systematically search complex fitness landscapes. The highly parallelized nature with which such libraries can be generated also has the potential to expand directed protein evolution from single protein targets to protein networks whose concerted activities are required for the biological function of interest.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23540421     DOI: 10.1016/j.copbio.2013.03.003

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  3 in total

Review 1.  Synergistic Synthetic Biology: Units in Concert.

Authors:  Jean-Yves Trosset; Pablo Carbonell
Journal:  Front Bioeng Biotechnol       Date:  2013-10-16

Review 2.  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

3.  Directed evolution of multiple genomic loci allows the prediction of antibiotic resistance.

Authors:  Ákos Nyerges; Bálint Csörgő; Gábor Draskovits; Bálint Kintses; Petra Szili; Györgyi Ferenc; Tamás Révész; Eszter Ari; István Nagy; Balázs Bálint; Bálint Márk Vásárhelyi; Péter Bihari; Mónika Számel; Dávid Balogh; Henrietta Papp; Dorottya Kalapis; Balázs Papp; Csaba Pál
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-05       Impact factor: 11.205

  3 in total

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