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Immunoinformatic Approaches for Vaccine Designing Against Viral Infections

  • Richa Anand
  • Richa Raghuwanshi
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Part of the Methods in Molecular Biology book series (MIMB, volume 2131)

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.

Key words

Epitope Immunomics Immunoinformatics Viral infections Vaccine design 

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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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2020

Authors and Affiliations

  • Richa Anand
    • 1
  • Richa Raghuwanshi
    • 2
  1. 1.Department of Applied SciencesIndian Institute of Information TechnologyAllahabadIndia
  2. 2.Department of Botany, Mahila MahavidyalayaBanaras Hindu UniversityVaranasiIndia

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