↓ Skip to main content

Protein Engineering

Overview of attention for book
Protein Engineering
Springer New York

Table of Contents

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
95 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 32%
Researcher 13 14%
Student > Bachelor 9 9%
Student > Master 3 3%
Other 2 2%
Other 6 6%
Unknown 32 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 35%
Agricultural and Biological Sciences 10 11%
Chemistry 8 8%
Chemical Engineering 3 3%
Engineering 2 2%
Other 6 6%
Unknown 33 35%
Attention Score in Context

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.
All research outputs
#18,575,277
of 23,007,053 outputs
Outputs from Methods in molecular biology
#7,962
of 13,157 outputs
Outputs of similar age
#330,471
of 442,275 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,498 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,275 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.