Immunoinformatics (2^nd Ed., Softcover reprint of the original 2nd ed. 2014) Methods in Molecular Biology Series, Vol. 1184

At the intersection of experimental and computational sciences, the second edition of Immunoinformatics provides biological insights as well as a simpler way to implement approaches and algorithms in the immunoinformatics research domain. After an introductory section, this extensive volume moves on to cover topics such as databases, tools for prediction, systems biology approaches, as well as a variety of immunoinformatics applications. As part of the highly successful Methods in Molecular Biology series, chapters include the type of detailed information and implementation advice to ensure successful results.

Comprehensive and practical, Immunoinformatics, Second Edition aims at students and researchers from diverse backgrounds and levels interested in working with immunological problems.

A Brief Outline of the Immune System.- Crosstalk Between the Metabolic and Immune Systems.- Immunoinformatics: A Brief Review.- Immunoinformatics of the V, C and G Domains: IMGT® Definitive System for IG, TR and IgSF, MH and MhSF.- IMGT/HLA and the Immuno Polymorphism Database.- Databases for T-Cell Epitopes.- Databases for B-Cell Epitopes.- Antigen-Antibody Interaction Database (AgAbDb): A Compendium of Antigen-Antibody Interactions.- Allergen Databases.- Prediction of Conformational B-Cell Epitopes.- Computational Prediction of B Cell Epitopes from Antigen Sequences.- Machine Learning Based Methods for Prediction of Linear B-Cell Epitopes.- Mimotope-Based Prediction of B-Cell Epitopes.- Hybrid Methods for B-Cell Epitope Prediction: Approaches to the Development and Utilization of Computational Tools for Practical Applications.- Building Hybrid Classifiers for B-Cell Epitopes Prediction.- Multiplex Peptide-Based B-Cell Epitope Mapping.- Classification of Human Leukocyte Antigen (HLA) Super types.- Customized Predictions of Peptide-MHC Binding and T-Cell Epitopes Using EPIMHC.- T-Cell Epitope Prediction Methods: An Overview.- Computational Antigenic Epitope Prediction by Calculating Electrostatic Desolvation Penalties of Protein Surfaces.- In Silico Prediction of Allergenic Proteins.- Prediction of Virulence Factors Using Bioinformatics Approaches.- A Systems Biology Approach to Study Systemic Inflammation.- Procedures for Mucosal Immunization and Analyses of Cellular Immune Response to Candidate HIV Vaccines in Murine and Nonhuman Primate Models.- Immunoinformatics and Systems Biology in Personalized Medicine.- The Role of Small RNAs in Vaccination.- Structure-Based Clustering of Major Histocompatibility Complex (MHC) Proteins for Broad-Based T-Cell Vaccine Design.- Immunoinformatics, Molecular Modeling and Cancer Vaccines.- Investigating Host Pathogen Behavior and Their Interaction Using Genome-Scale Metabolic Network Models.- Mathematical Models of HIVReplication and Pathogenesis.