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Protein Engineering

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Cover of 'Protein Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Protein Engineering: Past, Present, and Future
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    Chapter 2 Rational and Semirational Protein Design
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    Chapter 3 Computational Analysis of Protein Tunnels and Channels
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    Chapter 4 YASARA: A Tool to Obtain Structural Guidance in Biocatalytic Investigations
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    Chapter 5 A Computational Library Design Protocol for Rapid Improvement of Protein Stability: FRESCO
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    Chapter 6 Directed Evolution of Proteins Based on Mutational Scanning
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    Chapter 7 A Brief Guide to the High-Throughput Expression of Directed Evolution Libraries
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    Chapter 8 Library Growth and Protein Expression: Optimal and Reproducible Microtiter Plate Expression of Recombinant Enzymes in E. coli Using MTP Shakers
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    Chapter 9 Normalized Screening of Protein Engineering Libraries by Split-GFP Crude Cell Extract Quantification
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    Chapter 10 Functional Analysis of Membrane Proteins Produced by Cell-Free Translation
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    Chapter 11 Practical Considerations Regarding the Choice of the Best High-Throughput Assay
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    Chapter 12 High-Throughput Screening Assays for Lipolytic Enzymes
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    Chapter 13 Continuous High-Throughput Colorimetric Assays for α -Transaminases
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    Chapter 14 Colorimetric High-Throughput Screening Assays for the Directed Evolution of Fungal Laccases
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    Chapter 15 Directed Coevolution of Two Cellulosic Enzymes in Escherichia coli Based on Their Synergistic Reactions
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    Chapter 16 Program-Guided Design of High-Throughput Enzyme Screening Experiments and Automated Data Analysis/Evaluation
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    Chapter 17 Solid-Phase Agar Plate Assay for Screening Amine Transaminases
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    Chapter 18 Ultrahigh-Throughput Screening of Single-Cell Lysates for Directed Evolution and Functional Metagenomics
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    Chapter 19 Isolation of pH-Sensitive Antibody Fragments by Fluorescence-Activated Cell Sorting and Yeast Surface Display
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    Chapter 20 Library Generation and Auxotrophic Selection Assays in Escherichia coli and Thermus thermophilus
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    Chapter 21 Erratum to: Functional Analysis of Membrane Proteins Produced by Cell-Free Translation
Attention for Chapter 15: Directed Coevolution of Two Cellulosic Enzymes in Escherichia coli Based on Their Synergistic Reactions
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Chapter title
Directed Coevolution of Two Cellulosic Enzymes in Escherichia coli Based on Their Synergistic Reactions
Chapter number 15
Book title
Protein Engineering
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7366-8_15
Pubmed ID
Book ISBNs
978-1-4939-7364-4, 978-1-4939-7366-8
Authors

Min Liu, Lidan Ye, Hongwei Yu, Liu, Min, Ye, Lidan, Yu, Hongwei

Abstract

Directed evolution is a widely used technique for improving enzymatic properties. The development of an efficient high-throughput screening method is a key procedure, which is however often unavailable for many enzyme reactions, including the cellulase-catalyzed cellulose hydrolysis. Here, we describe a high-throughput screening assay for directed coevolution of two cellulases (an endoglucanase and a β-glucosidase) in form of a bicistronic operon based on their synergistic reactions. Insoluble filter paper is used as the real cellulose substrate to screen for positive enzyme variants, facilitated by the colorimetric assay coupled to glucose liberated from cellulose under catalysis of endoglucanase and β-glucosidase. Directed coevolution saves the labor and time required for two independent directed evolution cycles, which might provide reference for the engineering of other cellulosic enzymes or multienzyme systems.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 50%
Engineering 1 25%
Unknown 1 25%