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Antibody Engineering

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Cover of 'Antibody Engineering'

Table of Contents

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    Book Overview
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    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
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    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
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    Chapter 26 Site-Specific Radioactive Labeling of Nanobodies
Attention for Chapter 1: Antibody Design and Humanization via In Silico Modeling
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Chapter title
Antibody Design and Humanization via In Silico Modeling
Chapter number 1
Book title
Antibody Engineering
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8648-4_1
Pubmed ID
Book ISBNs
978-1-4939-8647-7, 978-1-4939-8648-4
Authors

Vinodh B. Kurella, Reddy Gali, Kurella, Vinodh B., Gali, Reddy

Abstract

Antibody humanization process converts any nonhuman antibody sequence into humanized antibodies. This can be achieved using different methods of antibody design and engineering. This chapter will primarily focus on antibody design using a homology model followed by framework shuffling of murine to human germline sequence for humanization. Historically, mouse antibodies have been humanized using sequence-based approaches, in which all the murine frameworks are replaced with most homologous human germline sequence or related scaffold. Most often this humanized antibody design, when tested, has a significantly reduced binding or no binding to the cognate antigen. This is due to noncompatibility of mouse CDRs being supported by non-native human framework scaffold. This mismatch between mouse, human structural fold, and elimination of key conformational residues often leads to antibody humanization failures. Recently, there has been advent of homology modelor structure-guided antibody humanization. Instead of humanization based on linear sequence, this approach takes into account the tertiary structure and fold of the mouse antibody. A mouse homology model of the fragment variable is created, and based on sequence alignment with human germline, residues that are different in mouse are replaced with humanized sequence in the model. Energy minimization is applied to this humanized model that also delineates residues which might have steric clashes due to change in the overall tertiary conformation of the humanized antibody. Therefore, a homology model-guided with rational mutations, and reintroduction of key conformational residues from mouse antibody not only eliminates steric clashes but might also restore function in relation to binding affinity to its antigen.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Ph. D. Student 6 19%
Student > Bachelor 4 13%
Student > Doctoral Student 2 6%
Lecturer 2 6%
Other 4 13%
Unknown 7 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 31%
Agricultural and Biological Sciences 8 25%
Immunology and Microbiology 2 6%
Nursing and Health Professions 1 3%
Chemical Engineering 1 3%
Other 2 6%
Unknown 8 25%