Abstract
Vaccines have become a cost-effective method for prevention or treatment of viral infections. Conventional methods to design a vaccine candidate is a laborious process requiring time and economy. Many approaches have been made to reduce the times and economy of vaccine development. In this regard, immunoinformatic approach is supposed to bring a revolution in vaccine development. This chapter provides an overview of immunoinformatics and its application in in silico vaccine design and development strategies in humans against viral diseases with the help of available databases and tools.
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Abbreviations
- ANN:
-
Artificial Neural Network
- CTL:
-
Cytotoxic T Lymphocytes
- GRAVY:
-
Grand Average Hydropathicity
- HLA:
-
Human Leukocyte Antigen
- IC:
-
Inhibitory Concentration
- IEDB:
-
Immune Epitope Database
- MHC:
-
Major Histocompatibility Complex
- NCBI:
-
National Center for Biotechnology Information
- PIR:
-
Protein Information Resource
- PSSM:
-
Position-Specific Scoring Matrices
- QM:
-
Quantum Matrices
- SMM:
-
Stabilized Matrix Method
- SVM:
-
Support Vector Machine
- TAP:
-
Transporter of Antigen Presentation
- Vipr:
-
Virus Pathogen Database and Analysis Resource
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Anand, R., Raghuwanshi, R. (2020). Immunoinformatic Approaches for Vaccine Designing Against Viral Infections. In: Tomar, N. (eds) Immunoinformatics. Methods in Molecular Biology, vol 2131. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0389-5_15
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DOI: https://doi.org/10.1007/978-1-0716-0389-5_15
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Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-0388-8
Online ISBN: 978-1-0716-0389-5
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