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Immunoinformatics

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Cover of 'Immunoinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 A Brief Outline of the Immune System
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    Chapter 2 Cross Talk Between the Metabolic and Immune Systems
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    Chapter 3 Immunoinformatics: A Brief Review
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    Chapter 4 Immunoinformatics of the V, C, and G Domains: IMGT ® Definitive System for IG, TR and IgSF, MH, and MhSF
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    Chapter 5 IMGT/HLA and the Immuno Polymorphism Database
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    Chapter 6 Databases for T-Cell Epitopes
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    Chapter 7 Databases for B-Cell Epitopes
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    Chapter 8 Antigen–Antibody Interaction Database (AgAbDb): A Compendium of Antigen–Antibody Interactions
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    Chapter 9 Allergen Databases
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    Chapter 10 Prediction of Conformational B-Cell Epitopes
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    Chapter 11 Computational Prediction of B Cell Epitopes from Antigen Sequences
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    Chapter 12 Machine Learning-Based Methods for Prediction of Linear B-Cell Epitopes
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    Chapter 13 Mimotope-Based Prediction of B-Cell Epitopes
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    Chapter 14 Hybrid Methods for B-Cell Epitope Prediction
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    Chapter 15 Building Classifier Ensembles for B-Cell Epitope Prediction
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    Chapter 16 Multiplex Peptide-Based B Cell Epitope Mapping
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    Chapter 17 Classification of Human Leukocyte Antigen (HLA) Supertypes
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    Chapter 18 Customized Predictions of Peptide–MHC Binding and T-Cell Epitopes Using EPIMHC
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    Chapter 19 T-Cell Epitope Prediction Methods: An Overview
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    Chapter 20 Computational Antigenic Epitope Prediction by Calculating Electrostatic Desolvation Penalties of Protein Surfaces
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    Chapter 21 In Silico Prediction of Allergenic Proteins
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    Chapter 22 Prediction of Virulence Factors Using Bioinformatics Approaches
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    Chapter 23 A Systems Biology Approach to Study Systemic Inflammation
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    Chapter 24 Procedures for Mucosal Immunization and Analyses of Cellular Immune Response to Candidate HIV Vaccines in Murine and Nonhuman Primate Models
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    Chapter 25 Immunoinformatics and Systems Biology in Personalized Medicine
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    Chapter 26 The Role of Small RNAs in Vaccination
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    Chapter 27 Structure-Based Clustering of Major Histocompatibility Complex (MHC) Proteins for Broad-Based T-Cell Vaccine Design
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    Chapter 28 Immunoinformatics, Molecular Modeling, and Cancer Vaccines
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    Chapter 29 Investigating Host–Pathogen Behavior and Their Interaction Using Genome-Scale Metabolic Network Models
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    Chapter 30 Mathematical Models of HIV Replication and Pathogenesis
Attention for Chapter 18: Customized Predictions of Peptide–MHC Binding and T-Cell Epitopes Using EPIMHC
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Chapter title
Customized Predictions of Peptide–MHC Binding and T-Cell Epitopes Using EPIMHC
Chapter number 18
Book title
Immunoinformatics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1115-8_18
Pubmed ID
Book ISBNs
978-1-4939-1114-1, 978-1-4939-1115-8
Authors

Magdalena Molero-Abraham, Esther M. Lafuente, Pedro Reche, Molero-Abraham, Magdalena, Lafuente, Esther M., Reche, Pedro

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Researcher 2 9%
Student > Bachelor 1 5%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 23%
Immunology and Microbiology 4 18%
Computer Science 3 14%
Medicine and Dentistry 2 9%
Agricultural and Biological Sciences 1 5%
Other 2 9%
Unknown 5 23%