Immunoinformatics (3rd Ed., 3rd ed. 2020)
Methods in Molecular Biology Series, Vol. 2131

Coordinator: Tomar Namrata

Language: English

137.14 €

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Immunoinformatics
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409 p. · 17.8x25.4 cm · Paperback

210.99 €

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Immunoinformatics
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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.

1. Reverse Vaccinology and Its Applications

            Amol M. Kanampalliwar

 

2. Computational Methodology for Peptide Vaccine Design for Zika Virus: A Bioinformatics Approach

            Ashesh Nandy, Smarajit Manna, and Subhas C. Basak

 

3. High-Definition Genomic Analysis of HLA Genes via Comprehensive HLA Allele Genotyping

            Shuji Kawaguchi and Fumihiko Matsuda

 

4. A Computational Vaccine Designing Approached for MERS-CoV Infections

            Hiba Siddig Ibrahim and Shamsoun Khamis Kafi

 

5. Аn Alignment-Independent Platform for Allergenicity Prediction

            Ivan Dimitrov and Irini Doytchinova

 

6. Immunoinformatics and Epitope Prediction

            Jayashree Ramana and Kusum Mehla

 

7. Vaccine Design against Leptospirosis Using an Immunoinformatics Approach

            Kumari Snehkant Lata, Vibhisha Vaghasia, Shivarudrappa Bhairappanvar, Saumya Patel, and Jayashankar Das

 

8. Characterizing MHC-I Genotype Predictive Power for Oncogenic Mutation Probability in Cancer Patients

            Lainie Beauchemin, Michael Slifker, David Rossell, and Joan Font-Burgada

 

9. Network Analysis of Large-Scale Data and Its Application to Immunology

            Lauren Benoodt and Juilee Thakar

 

10. In Silico Guided Sequence Modification of Epitopes in Cancer Vaccine Development

            Winfrey Pui Yee Hoo, Pui Yan Siak, and Lionel L.A. In

 

11. An Immunoinformatics Approach in Design of Synthetic Peptide Vaccine Against Influenza Virus

            Neha Lohia and Manoj Baranwal

 

12. A New Approach to Assess mAb Aggregation

            Illarion V. Turko

 

13. Generation of Variability-Free Reference Proteomes from Pathogenic Organisms for Epitope-Vaccine Design

            Jose L. Sanchez-Trincado and Pedro A. Reche

 

14. Immunoinformatic Identification of Potential Epitopes

            Priti Desai, Divya Tarwadi, Bhargav Pandya, and BhruguYagnik

 

15. Immunoinformatic Approaches for Vaccine Designing Against Viral Infections

            Richa Anand and Richa Raghuwanshi

 

16. EPCES and EPSVR: Prediction of B-Cell Antigenic Epitopes on Protein Surfaces with Conformational Information

            Shide Liang, Dandan Zheng, Bo Yao, and Chi Zhang

 

17. SVMTriP: A Method to Predict B-Cell Linear Antigenic Epitopes

            Bo Yao, Dandan Zheng, Shide Liang, and Chi Zhang

 

18. Modeling Phage-Bacteria Dynamics

            Saptarshi Sinha, Rajdeep Kaur Grewal, and Soumen Roy

 

19. Dynamics of Mycobacteriophage –Mycobacterial Host Interaction

            Arabinda Ghosh, Tridip Phukan, Surabhi Johari, Ashwani Sharma, Abha Vashista, and Subrata Sinha

 

20. Multiplexing of Immune Markers via Electrochemiluminescence Immunoassays for Systems Biology

            Vrushali Abhyankar and Ammaar H. Abidi

 

21. AAgAtlas 1.0: A Database of Human Autoantigens Extracted from Biomedical Literature

            Dan Wang, Yupeng Zhang, Qing Meng, and Xiaobo Yu

 

22. Application of Meta Learning to B-Cell Conformational Epitope Prediction

            Yuh-Jyh Hu


23. PCPS:  A Web Server to Predict Proteasomal Cleavage Sites

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

Includes cutting-edge techniques

Provides step-by-step detail essential for reproducible results

Contains key implementation advice from the experts