Winning the numbers game in enzyme evolution - fast screening methods for improved biotechnology proteins.

Abstract:

The booming demand for environmentally benign industrial processes relies on the ability to quickly find or engineer a biocatalyst suitable to ideal process conditions. Both metagenomic approaches and directed evolution involve the screening of huge libraries of protein variants, which can only be managed reasonably by flexible platforms for (ultra)high-throughput profiling against the desired criteria. Here, we review the most recent additions toward a growing toolbox of versatile assays using fluorescence, absorbance and mass spectrometry readouts. While conventional solution based high-throughput screening in microtiter plate formats is still important, the implementation of novel screening protocols for microfluidic cell or droplet sorting systems supports technological advances for ultra-high-frequency screening that now can dramatically reduce the timescale of engineering projects. We discuss practical issues of scope, scalability, sensitivity and stereoselectivity for the improvement of biotechnologically relevant enzymes from different classes.

SEEK ID: https://fairdomhub.org/publications/582

PubMed ID: 32615371

DOI: 10.1016/j.sbi.2020.05.003

Projects: TRALAMINOL

Publication type: Journal

Journal: Current opinion in structural biology

Citation: Current opinion in structural biology,63:123-133

Date Published: 29th Jun 2020

URL: https://www.sciencedirect.com/science/article/abs/pii/S0959440X20300750?via%3Dihub

Registered Mode: manually

help Submitter
Citation
Sheludko, Y. V., & Fessner, W.-D. (2020). Winning the numbers game in enzyme evolution – fast screening methods for improved biotechnology proteins. In Current Opinion in Structural Biology (Vol. 63, pp. 123–133). Elsevier BV. https://doi.org/10.1016/j.sbi.2020.05.003
Activity

Views: 1564

Created: 25th Nov 2020 at 15:11

Last updated: 8th Dec 2022 at 17:26

help Attributions

None

Powered by
(v.1.16.0)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH