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Directed Evolution Library Creation

Overview of attention for book
Cover of 'Directed Evolution Library Creation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Directed Evolution Library Creation
  3. Altmetric Badge
    Chapter 2 Error-Prone Rolling Circle Amplification Greatly Simplifies Random Mutagenesis
  4. Altmetric Badge
    Chapter 3 Random Mutagenesis by Error-Prone Pol Plasmid Replication in Escherichia coli.
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    Chapter 4 The Sequence Saturation Mutagenesis (SeSaM) Method
  6. Altmetric Badge
    Chapter 5 Generation of Effective Libraries by Neutral Drift
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    Chapter 6 Site-Saturation Mutagenesis by Overlap Extension PCR
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    Chapter 7 Iterative saturation mutagenesis: a powerful approach to engineer proteins by systematically simulating darwinian evolution.
  9. Altmetric Badge
    Chapter 8 Generating Targeted Libraries by the Combinatorial Incorporation of Synthetic Oligonucleotides During Gene Shuffling (ISOR)
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    Chapter 9 OmniChange: Simultaneous Site Saturation of Up to Five Codons
  11. Altmetric Badge
    Chapter 10 Random Insertional–Deletional Strand Exchange Mutagenesis (RAISE): A Simple Method for Generating Random Insertion and Deletion Mutations
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    Chapter 11 Transposon-based approaches for generating novel molecular diversity during directed evolution.
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    Chapter 12 Restriction Enzyme-Mediated DNA Family Shuffling
  14. Altmetric Badge
    Chapter 13 Assembly of Designed Oligonucleotides: A Useful Tool in Synthetic Biology for Creating High-Quality Combinatorial DNA Libraries
  15. Altmetric Badge
    Chapter 14 One-Pot Simple Methodology for Cassette Randomization and Recombination for Focused Directed Evolution (OSCARR)
  16. Altmetric Badge
    Chapter 15 USER Friendly DNA Recombination (USERec): Gene Library Construction Requiring Minimal Sequence Homology.
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    Chapter 16 ITCHY: Incremental Truncation for the Creation of Hybrid Enzymes
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    Chapter 17 Generating Random Circular Permutation Libraries
  19. Altmetric Badge
    Chapter 18 Probabilistic Methods in Directed Evolution: Library Size, Mutation Rate, and Diversity
  20. Altmetric Badge
    Chapter 19 The Mutagenesis Assistant Program
  21. Altmetric Badge
    Chapter 20 Computational Tools for Designing Smart Libraries
  22. Altmetric Badge
    Chapter 21 Computational tools for directed evolution: a comparison of prospective and retrospective strategies.
  23. Altmetric Badge
    Chapter 22 Designing Libraries of Chimeric Proteins Using SCHEMA Recombination and RASPP
  24. Altmetric Badge
    Chapter 23 Noncontiguous SCHEMA Protein Recombination.
  25. Altmetric Badge
    Chapter 24 Engineering Proteins by Reconstructing Evolutionary Adaptive Paths
Attention for Chapter 7: Iterative saturation mutagenesis: a powerful approach to engineer proteins by systematically simulating darwinian evolution.
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  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Chapter title
Iterative saturation mutagenesis: a powerful approach to engineer proteins by systematically simulating darwinian evolution.
Chapter number 7
Book title
Directed Evolution Library Creation
Published in
Methods in molecular biology, July 2014
DOI 10.1007/978-1-4939-1053-3_7
Pubmed ID
Book ISBNs
978-1-4939-1052-6, 978-1-4939-1053-3
Authors

Acevedo-Rocha CG, Hoebenreich S, Reetz MT, Carlos G. Acevedo-Rocha, Sabrina Hoebenreich, Manfred T. Reetz, Acevedo-Rocha, Carlos G., Hoebenreich, Sabrina, Reetz, Manfred T.

Abstract

Iterative saturation mutagenesis (ISM) is a widely applicable and powerful strategy for the efficient directed evolution of enzymes. First, one or more amino acid positions from the chosen enzyme are assigned to multi-residue sites (i.e., groups of amino acids or "multisites"). Then, the residues in each multisite are mutated with a user-defined randomization scheme to all canonical amino acids or a reduced amino acid alphabet. Subsequently, the genes of chosen variants (usually the best but not necessarily) are used as templates for saturation mutagenesis at other multisites, and the process is repeated until the desired degree of biocatalyst improvement has been achieved. Addressing multisites iteratively results in a so-called ISM scheme or tree with various upward branches or pathways. The systematic character of ISM simulates in vitro the natural process of Darwinian evolution: variation (library creation), selection (library screening), and amplification (template chosen for the next round of randomization). However, the main feature of ISM that distinguishes it from other directed evolution methods is the systematic probing of a defined segment of the protein sequence space, as it has been shown that ISM is much more efficient in terms of biocatalyst optimization than random methods such as error-prone PCR. In addition, ISM trees have also shed light on the emergence of epistasis, thereby rationally improving the strategies for evolving better enzymes. ISM was developed to improve catalytic properties such as rate, substrate scope, stereo- and regioselectivity using the Combinatorial Active-site Saturation Test (CAST), as well as chemical and thermal stability employing the B-Factor Iterative Test (B-FIT). However, ISM can also be invoked to manipulate such protein properties as binding affinity among other possibilities, including protein-protein interactions. Herein, we provide general guidelines for ISM, using CAST as the case study in the quest to enhance the activity and regioselectivity of the monooxygenase P450BM3 toward testosterone.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Unknown 70 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 12 17%
Student > Master 9 13%
Student > Bachelor 8 11%
Professor 2 3%
Other 9 13%
Unknown 17 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 29%
Agricultural and Biological Sciences 18 25%
Chemistry 9 13%
Engineering 2 3%
Economics, Econometrics and Finance 1 1%
Other 3 4%
Unknown 18 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 November 2017.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from Methods in molecular biology
#2,316
of 13,094 outputs
Outputs of similar age
#73,470
of 228,831 outputs
Outputs of similar age from Methods in molecular biology
#7
of 70 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,094 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% of its peers.
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 228,831 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.