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Protein Engineering

Overview of attention for book
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 5: A Computational Library Design Protocol for Rapid Improvement of Protein Stability: FRESCO
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Chapter title
A Computational Library Design Protocol for Rapid Improvement of Protein Stability: FRESCO
Chapter number 5
Book title
Protein Engineering
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7366-8_5
Pubmed ID
Book ISBNs
978-1-4939-7364-4, 978-1-4939-7366-8
Authors

Hein J. Wijma, Maximilian J. L. J. Fürst, Dick B. Janssen, Wijma, Hein J., Fürst, Maximilian J. L. J., Janssen, Dick B.

Abstract

The ability to stabilize enzymes and other proteins has wide-ranging applications. Most protocols for enhancing enzyme stability require multiple rounds of high-throughput screening of mutant libraries and provide only modest improvements of stability. Here, we describe a computational library design protocol that can increase enzyme stability by 20-35 °C with little experimental screening, typically fewer than 200 variants. This protocol, termed FRESCO, scans the entire protein structure to identify stabilizing disulfide bonds and point mutations, explores their effect by molecular dynamics simulations, and provides mutant libraries with variants that have a good chance (>10%) to exhibit enhanced stability. After experimental verification, the most effective mutations are combined to produce highly robust enzymes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 32%
Researcher 12 16%
Student > Bachelor 7 9%
Other 2 3%
Student > Master 2 3%
Other 4 5%
Unknown 23 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 39%
Agricultural and Biological Sciences 9 12%
Chemistry 6 8%
Chemical Engineering 3 4%
Environmental Science 1 1%
Other 3 4%
Unknown 23 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2018.
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#10,744,155
of 13,505,974 outputs
Outputs from Methods in molecular biology
#4,351
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Outputs of similar age
#230,051
of 313,219 outputs
Outputs of similar age from Methods in molecular biology
#1
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