Issue 48, 2017, Issue in Progress

Computational design to improve catalytic activity of cephalosporin C acylase from Pseudomonas strain N176

Abstract

Engineering enzymes with high catalytic activities using enzyme design in silico and a limited number of experimental evaluations is the new trend for the discovery of highly efficient biocatalysts. In this report, a double mutant (M31βF/H70βS) cephalosporin C acylase from the Pseudomonas strain N176 was used as the starting template, and a computational enzyme design strategy aided the identification of a quadruple mutant (M31βF/H70βS/F58βN/I176βT) that exhibited a 2.7-fold increase in catalytic efficiency (Vmax/Km) when compared with that of the template. The time-course results confirmed that the quadruple mutant was a promising enzyme to catalyze the hydrolysis of cephalosporin C to produce 7-amino cephalosporanic acid in one-step under industrial conditions.

Graphical abstract: Computational design to improve catalytic activity of cephalosporin C acylase from Pseudomonas strain N176

Supplementary files

Article information

Article type
Paper
Submitted
24 Apr 2017
Accepted
06 Jun 2017
First published
12 Jun 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 30370-30375

Computational design to improve catalytic activity of cephalosporin C acylase from Pseudomonas strain N176

Y. Tian, Z. Xu, X. Huang and Y. Zhu, RSC Adv., 2017, 7, 30370 DOI: 10.1039/C7RA04597B

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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