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Food Allergens

Overview of attention for book
Cover of 'Food Allergens'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview of the Commonly Used Methods for Food Allergens
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    Chapter 2 Allergen Extraction and Purification from Natural Products: Main Chromatographic Techniques
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    Chapter 3 Recombinant Allergen Production in E. coli
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    Chapter 4 Recombinant Allergens Production in Yeast
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    Chapter 5 2D-Electrophoresis and Immunoblotting in Food Allergy
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    Chapter 6 Two-Dimensional Electrophoresis and Identification by Mass Spectrometry
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    Chapter 7 Enzyme-Linked Immunosorbent Assay (ELISA)
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    Chapter 8 Detection of Food Allergens by Taqman Real-Time PCR Methodology
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    Chapter 9 Detection of Food Allergens by Phage-Displayed Produced Antibodies
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    Chapter 10 Protein Microarray-Based IgE Immunoassay for Allergy Diagnosis
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    Chapter 11 Basophil Degranulation Assay
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    Chapter 12 Use of Humanized RS-ATL8 Reporter System for Detection of Allergen-Specific IgE Sensitization in Human Food Allergy
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    Chapter 13 Assessment of IgE Reactivity of β-Casein by Western Blotting After Digestion with Simulated Gastric Fluid
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    Chapter 14 IgE Epitope Mapping Using Peptide Microarray Immunoassay
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    Chapter 15 T-Cell Proliferation Assay: Determination of Immunodominant T-Cell Epitopes of Food Allergens
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    Chapter 16 Tetramer-Guided Epitope Mapping: A Rapid Approach to Identify HLA-Restricted T-Cell Epitopes from Composite Allergens
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    Chapter 17 T-Cell Epitope Prediction
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    Chapter 18 An Overview of Bioinformatics Tools and Resources in Allergy
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    Chapter 19 The Use of a Semi-Automated System to Measure Mouse Natural Killer T (NKT) Cell Activation by Lipid-Loaded Dendritic Cells
  21. Altmetric Badge
    Chapter 20 Recent Advances in the Detection of Allergens in Foods
Attention for Chapter 17: T-Cell Epitope Prediction
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

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17 Dimensions

Readers on

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66 Mendeley
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Chapter title
T-Cell Epitope Prediction
Chapter number 17
Book title
Food Allergens
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6925-8_17
Pubmed ID
Book ISBNs
978-1-4939-6923-4, 978-1-4939-6925-8
Authors

George N. Konstantinou, Konstantinou, George N.

Editors

Jing Lin, Marcos Alcocer

Abstract

An epitope is a part of an immunogenic protein that can be recognized by the immune system. The peptides that can be recognized by the T-cell receptors after a particular antigen has been intracellularly processed, bound to at least one MHC molecule and expressed on the surface of the antigen presenting cell as a MHC-peptide complex, are called a T-cell epitope. Individuals who have at least one MHC molecule able to most avidly bind to allergenic amino acid sequences from an allergen, and at the same time have the appropriate T-cell clone that can recognize this MHC-peptide complex, are expected to be genetically prone to allergic reactions against that allergen. This possibility can be examined in silico by utilizing modern computational techniques that are based on sophisticated mathematics and statistics. The design principles of these techniques are different and therefore variations in their predictions are expected. The available software programs that have been developed on this basis are able to combine the increasing amount and complexity of the available experimental data that have been organized in immunoinformatics databases to predict potential allergen T-cell epitopes. All relevant T-cell epitope prediction methods can be accessed online as a freeware.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Germany 1 2%
Thailand 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 23%
Student > Bachelor 13 20%
Student > Ph. D. Student 10 15%
Student > Doctoral Student 6 9%
Researcher 6 9%
Other 10 15%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 44%
Biochemistry, Genetics and Molecular Biology 14 21%
Immunology and Microbiology 7 11%
Computer Science 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 5%
Unknown 8 12%
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 12 December 2021.
All research outputs
#7,416,242
of 22,675,759 outputs
Outputs from Methods in molecular biology
#2,295
of 13,037 outputs
Outputs of similar age
#130,499
of 333,667 outputs
Outputs of similar age from Methods in molecular biology
#41
of 309 outputs
Altmetric has tracked 22,675,759 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 13,037 research outputs from this source. They receive a mean Attention Score of 3.3. 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 333,667 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 53% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.