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Antibody Engineering

Overview of attention for book
Cover of 'Antibody Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Antibody Design and Humanization via In Silico Modeling
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    Chapter 2 Antibody Affinity Maturation by Computational Design
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    Chapter 3 Use of IMGT® Databases and Tools for Antibody Engineering and Humanization
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    Chapter 4 Construction of Human Naïve Antibody Gene Libraries
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    Chapter 5 Construction of Synthetic Antibody Libraries
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    Chapter 6 Construction of Histidine-Enriched Shark IgNAR Variable Domain Antibody Libraries for the Isolation of pH-Sensitive vNAR Fragments
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    Chapter 7 Display Technologies for Generation of Ig Single Variable Domains
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    Chapter 8 A Streamlined Approach for the Construction of Large Yeast Surface Display Fab Antibody Libraries
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    Chapter 9 Phage Display and Selections on Purified Antigens
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    Chapter 10 Selection of Antibodies to Transiently Expressed Membrane Proteins Using Phage Display
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    Chapter 11 Selection of Antibody Fragments Against Structured DNA by Phage Display
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    Chapter 12 Selection of Antibody Fragments by Yeast Display
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    Chapter 13 Rapid Selection of High-Affinity Antibody scFv Fragments Using Ribosome Display
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    Chapter 14 In Vitro Selection of Single-Domain Antibody (VHH) Using cDNA Display
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    Chapter 15 Sequencing and Affinity Determination of Antigen-Specific B Lymphocytes from Peripheral Blood
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    Chapter 16 Expression of IgG Monoclonals with Engineered Immune Effector Functions
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    Chapter 17 An IRES-Mediated Tricistronic Vector for Efficient Generation of Stable, High-Level Monoclonal Antibody Producing CHO DG44 Cell Lines
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    Chapter 18 Production, Purification, and Characterization of Antibody-TNF Superfamily Ligand Fusion Proteins
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    Chapter 19 Chemoenzymatic Defucosylation of Therapeutic Antibodies for Enhanced Effector Functions Using Bacterial α-Fucosidases
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    Chapter 20 Fc Glyco- and Fc Protein-Engineering: Design of Antibody Variants with Improved ADCC and CDC Activity
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    Chapter 21 Fc Engineering: Tailored Synthetic Human IgG1-Fc Repertoire for High-Affinity Interaction with FcRn at pH 6.0
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    Chapter 22 Measuring Antibody-Antigen Binding Kinetics Using Surface Plasmon Resonance
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    Chapter 23 Parallel Evolution of Antibody Affinity and Thermal Stability for Optimal Biotherapeutic Development
  25. Altmetric Badge
    Chapter 24 The Use of Somatic Hypermutation for the Affinity Maturation of Therapeutic Antibodies
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    Chapter 25 Selection and Use of Intracellular Antibodies
  27. Altmetric Badge
    Chapter 26 Site-Specific Radioactive Labeling of Nanobodies
Attention for Chapter 13: Rapid Selection of High-Affinity Antibody scFv Fragments Using Ribosome Display
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Chapter title
Rapid Selection of High-Affinity Antibody scFv Fragments Using Ribosome Display
Chapter number 13
Book title
Antibody Engineering
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8648-4_13
Pubmed ID
Book ISBNs
978-1-4939-8647-7, 978-1-4939-8648-4
Authors

Birgit Dreier, Andreas Plückthun, Dreier, Birgit, Plückthun, Andreas

Abstract

Ribosome display has proven to be a powerful in vitro selection and evolution method for generating high-affinity binders from libraries of folded proteins. It works entirely in vitro, and this has two important consequences. First, since no transformation of any cells is required, libraries with much greater diversity can be handled than with most other techniques. Second, since a library does not have to be cloned and transformed, it is very convenient to introduce random errors in the library by PCR-based methods and select improved binders. Thus, a true directed evolution, an iteration between randomization and selection over several generations, can be conveniently carried out, e.g., for affinity maturation, either on a given clone or on the whole library. Ribosome display has been successfully applied to antibody single-chain Fv fragments (scFv), which can be selected not only for specificity but also for stability and catalytic activity. High-affinity binders with new target specificity can be obtained from highly diverse libraries in only a few selection rounds. In this protocol, the selection from the library and the process of affinity maturation and off-rate selection are explained in detail.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 20%
Student > Ph. D. Student 3 15%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Other 1 5%
Other 3 15%
Unknown 6 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 45%
Agricultural and Biological Sciences 2 10%
Nursing and Health Professions 1 5%
Earth and Planetary Sciences 1 5%
Neuroscience 1 5%
Other 0 0%
Unknown 6 30%
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 10 September 2018.
All research outputs
#21,391,516
of 23,884,161 outputs
Outputs from Methods in molecular biology
#10,313
of 13,523 outputs
Outputs of similar age
#297,081
of 339,642 outputs
Outputs of similar age from Methods in molecular biology
#189
of 249 outputs
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