Literature DB >> 30611116

Protein engineers turned evolutionists-the quest for the optimal starting point.

Devin L Trudeau1, Dan S Tawfik2.   

Abstract

The advent of laboratory directed evolution yielded a fruitful crosstalk between the disciplines of molecular evolution and bio-engineering. Here, we outline recent developments in both disciplines with respect to how one can identify the best starting points for directed evolution, such that highly efficient and robust tailor-made enzymes can be obtained with minimal optimization. Directed evolution studies have highlighted essential features of engineer-able enzymes: highly stable, mutationally robust enzymes with the capacity to accept a broad range of substrates. Robust, evolvable enzymes can be inferred from the natural sequence record. Broad substrate spectrum relates to conformational plasticity and can also be predicted by phylogenetic analyses and/or by computational design. Overall, an increasingly powerful toolkit is becoming available for identifying optimal starting points including network analyses of enzyme superfamilies and other bioinformatics methods.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 30611116     DOI: 10.1016/j.copbio.2018.12.002

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


  19 in total

Review 1.  Learning Strategies in Protein Directed Evolution.

Authors:  Xavier F Cadet; Jean Christophe Gelly; Aster van Noord; Frédéric Cadet; Carlos G Acevedo-Rocha
Journal:  Methods Mol Biol       Date:  2022

2.  Synthetic DNA Libraries for Protein Engineering Toward Process Improvement in Drug Synthesis.

Authors:  Michele Tavanti
Journal:  Methods Mol Biol       Date:  2022

3.  Natural Evolution Provides Strong Hints about Laboratory Evolution of Designer Enzymes.

Authors:  Wen Jun Xie; Arieh Warshel
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-28       Impact factor: 12.779

4.  Using fungible biosensors to evolve improved alkaloid biosyntheses.

Authors:  Simon d'Oelsnitz; Wantae Kim; Nathaniel T Burkholder; Kamyab Javanmardi; Ross Thyer; Yan Zhang; Hal S Alper; Andrew D Ellington
Journal:  Nat Chem Biol       Date:  2022-07-07       Impact factor: 16.174

Review 5.  Capturing the geometry, function, and evolution of enzymes with 3D templates.

Authors:  Ioannis G Riziotis; Janet M Thornton
Journal:  Protein Sci       Date:  2022-07       Impact factor: 6.993

6.  LoopGrafter: a web tool for transplanting dynamical loops for protein engineering.

Authors:  Joan Planas-Iglesias; Filip Opaleny; Pavol Ulbrich; Jan Stourac; Zainab Sanusi; Gaspar P Pinto; Andrea Schenkmayerova; Jan Byska; Jiri Damborsky; Barbora Kozlikova; David Bednar
Journal:  Nucleic Acids Res       Date:  2022-04-19       Impact factor: 19.160

7.  Ancestral sequences of a large promiscuous enzyme family correspond to bridges in sequence space in a network representation.

Authors:  Patrick C F Buchholz; Bert van Loo; Bernard D G Eenink; Erich Bornberg-Bauer; Jürgen Pleiss
Journal:  J R Soc Interface       Date:  2021-11-03       Impact factor: 4.118

Review 8.  Practically useful protein-design methods combining phylogenetic and atomistic calculations.

Authors:  Jonathan Weinstein; Olga Khersonsky; Sarel J Fleishman
Journal:  Curr Opin Struct Biol       Date:  2020-06-05       Impact factor: 6.809

9.  The GMC superfamily of oxidoreductases revisited: analysis and evolution of fungal GMC oxidoreductases.

Authors:  Leander Sützl; Gabriel Foley; Elizabeth M J Gillam; Mikael Bodén; Dietmar Haltrich
Journal:  Biotechnol Biofuels       Date:  2019-05-10       Impact factor: 7.670

10.  Structural Robustness Affects the Engineerability of Aminoacyl-tRNA Synthetases for Genetic Code Expansion.

Authors:  Katherine T Grasso; Megan J R Yeo; Christen M Hillenbrand; Elise D Ficaretta; James S Italia; Rachel L Huang; Abhishek Chatterjee
Journal:  Biochemistry       Date:  2021-02-09       Impact factor: 3.162

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