Literature DB >> 35727444

SpeedyGenesXL: an Automated, High-Throughput Platform for the Preparation of Bespoke Ultralarge Variant Libraries for Directed Evolution.

Joanna C Sadler1,2,3,4,5, Neil Swainston6, Mark S Dunstan1,3,4, Andrew Currin6, Douglas B Kell7,8.   

Abstract

Directed evolution of proteins is a highly effective strategy for tailoring biocatalysts to a particular application, and is capable of engineering improvements such as kcat, thermostability and organic solvent tolerance. It is recognized that large and systematic libraries are required to navigate a protein's vast and rugged sequence landscape effectively, yet their preparation is nontrivial and commercial libraries are extremely costly. To address this, we have developed SpeedyGenesXL, an automated, high-throughput platform for the production of wild-type genes, Boolean OR, combinatorial, or combinatorial-OR-type libraries based on the SpeedyGenes methodology. Together this offers a flexible platform for library synthesis, capable of generating many different bespoke, diverse libraries simultaneously.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Automation; Bespoke gene variant library synthesis; Directed evolution; Synthetic biology

Mesh:

Substances:

Year:  2022        PMID: 35727444     DOI: 10.1007/978-1-0716-2152-3_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  42 in total

1.  Engineering soluble proteins for structural genomics.

Authors:  Jean-Denis Pédelacq; Emily Piltch; Elaine C Liong; Joel Berendzen; Chang-Yub Kim; Beom-Seop Rho; Min S Park; Thomas C Terwilliger; Geoffrey S Waldo
Journal:  Nat Biotechnol       Date:  2002-08-19       Impact factor: 54.908

Review 2.  Directed evolution of proteins for heterologous expression and stability.

Authors:  Cintia Roodveldt; Amir Aharoni; Dan S Tawfik
Journal:  Curr Opin Struct Biol       Date:  2005-02       Impact factor: 6.809

Review 3.  Directed evolution drives the next generation of biocatalysts.

Authors:  Nicholas J Turner
Journal:  Nat Chem Biol       Date:  2009-08       Impact factor: 15.040

Review 4.  Improving and repurposing biocatalysts via directed evolution.

Authors:  Carl A Denard; Hengqian Ren; Huimin Zhao
Journal:  Curr Opin Chem Biol       Date:  2015-01-08       Impact factor: 8.822

5.  Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins.

Authors:  Yutaka Saito; Misaki Oikawa; Hikaru Nakazawa; Teppei Niide; Tomoshi Kameda; Koji Tsuda; Mitsuo Umetsu
Journal:  ACS Synth Biol       Date:  2018-08-20       Impact factor: 5.110

6.  Machine learning-assisted directed protein evolution with combinatorial libraries.

Authors:  Zachary Wu; S B Jennifer Kan; Russell D Lewis; Bruce J Wittmann; Frances H Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-12       Impact factor: 11.205

7.  Directed evolution of thermostable kanamycin-resistance gene: a convenient selection marker for Thermus thermophilus.

Authors:  J Hoseki; T Yano; Y Koyama; S Kuramitsu; H Kagamiyama
Journal:  J Biochem       Date:  1999-11       Impact factor: 3.387

8.  Selenzyme: enzyme selection tool for pathway design.

Authors:  Pablo Carbonell; Jerry Wong; Neil Swainston; Eriko Takano; Nicholas J Turner; Nigel S Scrutton; Douglas B Kell; Rainer Breitling; Jean-Loup Faulon
Journal:  Bioinformatics       Date:  2018-06-15       Impact factor: 6.937

9.  Semisupervised Gaussian Process for Automated Enzyme Search.

Authors:  Joseph Mellor; Ioana Grigoras; Pablo Carbonell; Jean-Loup Faulon
Journal:  ACS Synth Biol       Date:  2016-03-30       Impact factor: 5.110

10.  Enzyme annotation for orphan and novel reactions using knowledge of substrate reactive sites.

Authors:  Noushin Hadadi; Homa MohammadiPeyhani; Ljubisa Miskovic; Marianne Seijo; Vassily Hatzimanikatis
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-25       Impact factor: 11.205

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