Literature DB >> 34813059

In Silico Prediction Methods for Site-Saturation Mutagenesis.

Ge Qu1,2, Zhoutong Sun3,4.   

Abstract

Directed enzyme evolution has proven to be a powerful means to endow biocatalysts with novel catalytic repertoires. Apart from completely random gene mutagenesis, site-directed or site-saturation mutagenesis requires a semi-rational selection of the amino acid positions or the substituted residues, which can dramatically reduce the screening efforts in protein engineering. To this end, in silico prediction methods play a pivotal role in targeting site-saturation mutagenesis. In this chapter, we provide two distinct computational methods, (a) conformational dynamics-guided design and (b) protein-ligand interaction fingerprinting analysis, to identify specific positions for site-saturation mutagenesis toward manipulating substrate specificity/stereoselectivity of an alcohol dehydrogenase, and improving activity of a carboxylic acid reductase, respectively.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Alcohol dehydrogenase; Carboxylic acid reductase; Conformational dynamics; Enzyme engineering; In silico; Protein–ligand interaction; Rational design; Site-specific saturation mutagenesis

Mesh:

Substances:

Year:  2022        PMID: 34813059     DOI: 10.1007/978-1-0716-1826-4_4

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


  27 in total

1.  Methodology Development in Directed Evolution: Exploring Options when Applying Triple-Code Saturation Mutagenesis.

Authors:  Ge Qu; Richard Lonsdale; Peiyuan Yao; Guangyue Li; Beibei Liu; Manfred T Reetz; Zhoutong Sun
Journal:  Chembiochem       Date:  2018-01-04       Impact factor: 3.164

Review 2.  Computational tools for enzyme improvement: why everyone can - and should - use them.

Authors:  Maximilian Ccjc Ebert; Joelle N Pelletier
Journal:  Curr Opin Chem Biol       Date:  2017-02-21       Impact factor: 8.822

Review 3.  Industrial biomanufacturing: The future of chemical production.

Authors:  James M Clomburg; Anna M Crumbley; Ramon Gonzalez
Journal:  Science       Date:  2017-01-06       Impact factor: 47.728

Review 4.  Computational tools for directed evolution: a comparison of prospective and retrospective strategies.

Authors:  Julian Zaugg; Yosephine Gumulya; Elizabeth M J Gillam; Mikael Bodén
Journal:  Methods Mol Biol       Date:  2014

Review 5.  Computational tools for designing and engineering enzymes.

Authors:  Jiri Damborsky; Jan Brezovsky
Journal:  Curr Opin Chem Biol       Date:  2013-12-31       Impact factor: 8.822

Review 6.  Biocatalysis engineering: the big picture.

Authors:  Roger A Sheldon; Pedro C Pereira
Journal:  Chem Soc Rev       Date:  2017-05-22       Impact factor: 54.564

Review 7.  Directed Evolution of Protein Catalysts.

Authors:  Cathleen Zeymer; Donald Hilvert
Journal:  Annu Rev Biochem       Date:  2018-03-01       Impact factor: 23.643

Review 8.  Utility of B-Factors in Protein Science: Interpreting Rigidity, Flexibility, and Internal Motion and Engineering Thermostability.

Authors:  Zhoutong Sun; Qian Liu; Ge Qu; Yan Feng; Manfred T Reetz
Journal:  Chem Rev       Date:  2019-01-30       Impact factor: 60.622

Review 9.  Exploring protein fitness landscapes by directed evolution.

Authors:  Philip A Romero; Frances H Arnold
Journal:  Nat Rev Mol Cell Biol       Date:  2009-12       Impact factor: 94.444

Review 10.  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

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