Immunoinformatics (eBook, PDF)

Redaktion: Tomar, Namrata

• Format: PDF

Produktbeschreibung

This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab.

Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 409
• Erscheinungstermin: 11. März 2020
• Englisch
• ISBN-13: 9781071603895
• Artikelnr.: 64701360

Inhaltsangabe

Reverse Vaccinology and Its Applications.- Computational Methodology for Peptide Vaccine Design for Zika Virus: A Bioinformatics Approach.- High-Definition Genomic Analysis of HLA Genes via Comprehensive HLA Allele Genotyping.- A Computational Vaccine Designing Approached for MERS-CoV Infections.- n Alignment-Independent Platform for Allergenicity Prediction.- Immunoinformatics and Epitope Prediction.- Vaccine Design against Leptospirosis Using an Immunoinformatics Approach.- Characterizing MHC-I Genotype Predictive Power for Oncogenic Mutation Probability in Cancer Patients.- Network Analysis of Large-Scale Data and Its Application to Immunology.- In Silico Guided Sequence Modification of Epitopes in Cancer Vaccine Development.- An Immunoinformatics Approach in Design of Synthetic Peptide Vaccine Against Influenza Virus.- A New Approach to Assess mAb Aggregation.- Generation of Variability-Free Reference Proteomes from Pathogenic Organisms for Epitope-Vaccine Design.- Immunoinformatic Identification of Potential Epitopes.- Immunoinformatic Approaches for Vaccine Designing Against Viral Infections.- EPCES and EPSVR: Prediction of B-Cell Antigenic Epitopes on Protein Surfaces with Conformational Information.- SVMTriP: A Method to Predict B-Cell Linear Antigenic Epitopes.- Modeling Phage-Bacteria Dynamics.- Dynamics of Mycobacteriophage -Mycobacterial Host Interaction.- Multiplexing of Immune Markers via Electrochemiluminescence Immunoassays for Systems Biology.- AAgAtlas 1.0: A Database of Human Autoantigens Extracted from Biomedical Literature.- Application of Meta Learning to B-Cell Conformational Epitope Prediction.- PCPS: A Web Server to Predict Proteasomal Cleavage Sites.