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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 Use of IMGT ® Databases and Tools for Antibody Engineering and Humanization
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    Chapter 2 Computer-Assisted Modeling of Antibody Variable Domains
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    Chapter 3 Cloning Single-Chain Antibody Fragments (ScFv) from Hyrbidoma Cells
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    Chapter 4 Human In-Cell scFv Library from Infiltrating B Cell
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    Chapter 5 Construction of Human Naive Antibody Gene Libraries
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    Chapter 6 Synthetic Customized scFv Libraries
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    Chapter 7 Selection of Stable scFv Antibodies by Phage Display
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    Chapter 8 Generation of Single Domain Antibody Fragments Derived from Camelids and Generation of Manifold Constructs
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    Chapter 9 Generation and Isolation of Target-Specific Single-Domain Antibodies from Shark Immune Repertoires
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    Chapter 10 Generation of Human Single Domain Antibody Repertoires by Kunkel Mutagenesis
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    Chapter 11 Phage Display and Selections on Purified Antigens
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    Chapter 12 Phage Display and Selections on Cells
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    Chapter 13 Humanization by CDR Grafting and Specificity-Determining Residue Grafting
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    Chapter 14 Humanization by Guided Selections
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    Chapter 15 Selection of Antibody Fragments by Yeast Display
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    Chapter 16 Evolution of Antibodies In Vitro by Ribosome Display
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    Chapter 17 Mammalian Cell Surface Display of Full Length IgG
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    Chapter 18 Production of Antibody Fragments in Escherichia coli
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    Chapter 19 Production of Antibody Derivatives in the Methylotrophic Yeast Pichia pastoris
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    Chapter 20 Monoclonal Antibody Expression in Mammalian Cells
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    Chapter 21 Production of Recombinant Antibodies in Drosophila melanogaster S2 Cells
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    Chapter 22 Production of Antibody Fragments Using the Baculovirus–Insect Cell System
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    Chapter 23 Transient and Stable Expression of Antibodies in Nicotiana Species
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    Chapter 24 Measuring Antibody–Antigen Binding Kinetics Using Surface Plasmon Resonance
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    Chapter 25 Affinity Determination of Biotinylated Antibodies by Flow Cytometry
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    Chapter 26 Affinity Maturation of Antibodies: Optimized Methods to Generate High-Quality ScFv Libraries and Isolate IgG Candidates by High-Throughput Screening
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    Chapter 27 Affinity Maturation by Semi -rational Approaches
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    Chapter 28 Molecular Scanning: Combining Random Mutagenesis, Ribosome Display, and Bioinformatic Analysis for Protein Engineering
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    Chapter 29 Fucose-Targeted Glycoengineering of Pharmaceutical Cell Lines
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    Chapter 30 Fc Engineering: Design, Expression, and Functional Characterization of Antibody Variants with Improved Effector Function
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    Chapter 31 Fc Engineering: Serum Half-Life Modulation Through FcRn Binding
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    Chapter 32 Monoclonal Antibody Lead Characterization: In Vitro and In Vivo Methods
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    Chapter 33 Production, Purification, and Characterization of scFv TNF Ligand Fusion Proteins
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    Chapter 34 Antibody-IL2 Fusion Proteins for Tumor Targeting
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    Chapter 35 Recombinant Immunotoxins with Low Endotoxins for Clinical and Animal Studies
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    Chapter 36 Chimeric Antigen Receptors for T-Cell Based Therapy
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    Chapter 37 Selection and Use of Intracellular Antibodies (Intrabodies)
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    Chapter 38 Radiolabeled Antibodies for Cancer Imaging and Therapy
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    Chapter 39 Design and Production of Multimeric Antibody Fragments, Focused on Diabodies with Enhanced Clinical Efficacy
  41. Altmetric Badge
    Chapter 40 Production of Bispecific Antibodies: Diabodies and Tandem scFv
Attention for Chapter 2: Computer-Assisted Modeling of Antibody Variable Domains
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Mentioned by

patent
1 patent

Readers on

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15 Mendeley
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Chapter title
Computer-Assisted Modeling of Antibody Variable Domains
Chapter number 2
Book title
Antibody Engineering
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-974-7_2
Pubmed ID
Book ISBNs
978-1-61779-973-0, 978-1-61779-974-7
Authors

Oscar H. P. Ramos, Ramos, Oscar H. P.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 53%
Student > Master 3 20%
Student > Ph. D. Student 1 7%
Other 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 53%
Biochemistry, Genetics and Molecular Biology 2 13%
Medicine and Dentistry 2 13%
Mathematics 1 7%
Chemistry 1 7%
Other 0 0%
Unknown 1 7%
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 09 May 2019.
All research outputs
#7,557,888
of 23,054,359 outputs
Outputs from Methods in molecular biology
#2,346
of 13,196 outputs
Outputs of similar age
#71,382
of 245,564 outputs
Outputs of similar age from Methods in molecular biology
#141
of 477 outputs
Altmetric has tracked 23,054,359 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 13,196 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 245,564 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 477 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.