2019
DOI: 10.1002/aic.16847
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From directed evolution to computational enzyme engineering—A review

Abstract: Nature relies on a wide range of enzymes with specific biocatalytic roles to carry out much of the chemistry needed to sustain life. Enzymes catalyze the interconversion of a vast array of molecules with high specificity-from molecular nitrogen fixation to the synthesis of highly specialized hormones and quorum-sensing molecules. Ever increasing emphasis on renewable sources for energy and waste minimization has turned enzymes into key industrial workhorses for targeted chemical conversions. Modern enzymology … Show more

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Cited by 92 publications
(50 citation statements)
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“…Advances in the fields of structural bioinformatics, computational modeling, and the availability of huge amounts of DNA sequence data have led to the development of a variety of computational tools that can speed up enzyme engineering for biotechnological application. Computational enzyme engineering and design methodology has been reviewed recently for altering properties such as stability, substrate specificity, or activity of biocatalysts ( Ebert and Pelletier, 2017 ; Chowdhury and Maranas, 2020 ; Sequeiros-Borja et al, 2020 ). Here, we describe which enzymatic features are important for enzyme engineering and design and how recently published computational tools ( Table 1 ) can facilitate the required steps from preparing the input structure complexes to screening designed variants for best performance.…”
Section: Computational Pipelines To Engineer Enzymesmentioning
confidence: 99%
“…Advances in the fields of structural bioinformatics, computational modeling, and the availability of huge amounts of DNA sequence data have led to the development of a variety of computational tools that can speed up enzyme engineering for biotechnological application. Computational enzyme engineering and design methodology has been reviewed recently for altering properties such as stability, substrate specificity, or activity of biocatalysts ( Ebert and Pelletier, 2017 ; Chowdhury and Maranas, 2020 ; Sequeiros-Borja et al, 2020 ). Here, we describe which enzymatic features are important for enzyme engineering and design and how recently published computational tools ( Table 1 ) can facilitate the required steps from preparing the input structure complexes to screening designed variants for best performance.…”
Section: Computational Pipelines To Engineer Enzymesmentioning
confidence: 99%
“…The genetic improving of enzymes by means of rational (or semirational) design [32][33][34][35][36][37], directed evolution [4,[38][39][40][41][42][43][44][45] or even de novo enzyme design [46][47][48][49] helped with machine-learning technologies [50][51][52][53], a very powerful (although rather complex) approach. The chemical modification of enzymes is also a usual technique to improve enzyme features [54][55][56][57].…”
Section: Enzymatic Biocatalysismentioning
confidence: 99%
“…[65] This example emphasizes both the power of enzyme computational design and the requirement for catalyst optimization after the initial design. Recent progresses in directed evolution techniques [124][125][126][127] together with the development of more and more accurate computational tools [73] should allow improving the catalytic proficiency and stability of artificial enzymes, and many examples presented in this review should be considered as proof-of-concepts. Figure 20.…”
Section: General Conclusionmentioning
confidence: 99%