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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 Reverse Vaccinology and Its Applications
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    Chapter 2 Computational Methodology for Peptide Vaccine Design for Zika Virus: A Bioinformatics Approach
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    Chapter 3 High-Definition Genomic Analysis of HLA Genes Via Comprehensive HLA Allele Genotyping
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    Chapter 4 A Computational Vaccine Designing Approach for MERS-CoV Infections
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    Chapter 5 An Alignment-Independent Platform for Allergenicity Prediction
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    Chapter 6 Immunoinformatics and Epitope Prediction
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    Chapter 7 Vaccine Design Against Leptospirosis Using an Immunoinformatic Approach
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    Chapter 8 Characterizing MHC-I Genotype Predictive Power for Oncogenic Mutation Probability in Cancer Patients
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    Chapter 9 Network Analysis of Large-Scale Data and Its Application to Immunology
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    Chapter 10 In Silico-Guided Sequence Modification of Epitopes in Cancer Vaccine Development
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    Chapter 11 An Immunoinformatics Approach in Design of Synthetic Peptide Vaccine Against Influenza Virus
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    Chapter 12 A New Approach to Assess mAb Aggregation
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    Chapter 13 Generation of Variability-Free Reference Proteomes from Pathogenic Organisms for Epitope-Vaccine Design
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    Chapter 14 Immunoinformatic Identification of Potential Epitopes
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    Chapter 15 Immunoinformatic Approaches for Vaccine Designing Against Viral Infections
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    Chapter 16 EPCES and EPSVR: Prediction of B-Cell Antigenic Epitopes on Protein Surfaces with Conformational Information
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    Chapter 17 SVMTriP: A Method to Predict B-Cell Linear Antigenic Epitopes
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    Chapter 18 Modeling Phage–Bacteria Dynamics
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    Chapter 19 Dynamics of Mycobacteriophage—Mycobacterial Host Interaction
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    Chapter 20 Multiplexing of Immune Markers via Electrochemiluminescence Immunoassays for Systems Biology
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    Chapter 21 AAgAtlas 1.0: A Database of Human Autoantigens Extracted from Biomedical Literature
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    Chapter 22 Application of Meta Learning to B-Cell Conformational Epitope Prediction
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    Chapter 23 PCPS: A Web Server to Predict Proteasomal Cleavage Sites
Attention for Chapter 23: PCPS: A Web Server to Predict Proteasomal Cleavage Sites
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Chapter title
PCPS: A Web Server to Predict Proteasomal Cleavage Sites
Chapter number 23
Book title
Immunoinformatics
Published by
Humana, New York, NY, January 2020
DOI 10.1007/978-1-0716-0389-5_23
Pubmed ID
Book ISBNs
978-1-07-160388-8, 978-1-07-160389-5
Authors

Marta Gomez-Perosanz, Alvaro Ras-Carmona, Pedro A. Reche, Gomez-Perosanz, Marta, Ras-Carmona, Alvaro, Reche, Pedro A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 22%
Other 3 13%
Student > Master 3 13%
Researcher 3 13%
Student > Doctoral Student 2 9%
Other 5 22%
Unknown 2 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 48%
Immunology and Microbiology 4 17%
Unspecified 1 4%
Computer Science 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 9%
Unknown 3 13%