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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
  3. Altmetric Badge
    Chapter 2 Antibody Affinity Maturation by Computational Design
  4. Altmetric Badge
    Chapter 3 Use of IMGT® Databases and Tools for Antibody Engineering and Humanization
  5. Altmetric Badge
    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
  24. Altmetric Badge
    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
  26. Altmetric Badge
    Chapter 25 Selection and Use of Intracellular Antibodies
  27. Altmetric Badge
    Chapter 26 Site-Specific Radioactive Labeling of Nanobodies
Attention for Chapter 3: Use of IMGT® Databases and Tools for Antibody Engineering and Humanization
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Chapter title
Use of IMGT® Databases and Tools for Antibody Engineering and Humanization
Chapter number 3
Book title
Antibody Engineering
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8648-4_3
Pubmed ID
Book ISBNs
978-1-4939-8647-7, 978-1-4939-8648-4
Authors

Marie-Paule Lefranc, François Ehrenmann, Sofia Kossida, Véronique Giudicelli, Patrice Duroux, Lefranc, Marie-Paule, Ehrenmann, François, Kossida, Sofia, Giudicelli, Véronique, Duroux, Patrice

Abstract

IMGT®, the international ImMunoGeneTics information system® ( http://www.imgt.org ), was created in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS) to manage the huge diversity of the antigen receptors, immunoglobulins (IG) or antibodies, and T cell receptors (TR). The founding of IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. Standardized sequence and structure analysis of antibody using IMGT® databases and tools allow one to bridge, for the first time, the gap between antibody sequences and three-dimensional (3D) structures. This is achieved through the IMGT Scientific chart rules, based on the IMGT-ONTOLOGY concepts of classification (IMGT gene and allele nomenclature), description (IMGT standardized labels), and numerotation (IMGT unique numbering and IMGT Collier de Perles). IMGT® is acknowledged as the global reference for immunogenetics and immunoinformatics, and its standards are particularly useful for antibody engineering and humanization. IMGT® databases for antibody nucleotide sequences and genes include IMGT/LIGM-DB and IMGT/GENE-DB, respectively, and nucleotide sequence analysis is performed by the IMGT/V-QUEST and IMGT/JunctionAnalysis tools and for NGS by IMGT/HighV-QUEST. In this chapter, we focus on IMGT® databases and tools for amino acid sequences, two-dimensional (2D) and three-dimensional (3D) structures: the IMGT/DomainGapAlign and IMGT Collier de Perles tools and the IMGT/2Dstructure-DB and IMGT/3Dstructure-DB database. IMGT/mAb-DB provides the query interface for monoclonal antibodies (mAb), fusion proteins for immune applications (FPIA), and composite proteins for clinical applications (CPCA) and related proteins of interest (RPI) and links to the proposed and recommended lists of the World Health Organization International Nonproprietary Name (WHO INN) programme, to IMGT/2Dstructure-DB for amino acid sequences, and to IMGT/3Dstructure-DB and its associated tools (IMGT/StructuralQuery, IMGT/DomainSuperimpose) for crystallized antibodies.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Researcher 4 21%
Student > Bachelor 3 16%
Professor 2 11%
Other 2 11%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 21%
Immunology and Microbiology 4 21%
Biochemistry, Genetics and Molecular Biology 3 16%
Computer Science 2 11%
Medicine and Dentistry 2 11%
Other 1 5%
Unknown 3 16%
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
#15,545,423
of 23,103,436 outputs
Outputs from Methods in molecular biology
#5,412
of 13,208 outputs
Outputs of similar age
#212,770
of 336,598 outputs
Outputs of similar age from Methods in molecular biology
#97
of 247 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.