CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Epitope Prediction by Novel Immunoinformatics Approach: A State-of-the-art Review
Authors
S. Eftekhari
M.M. Farajollahi
+5 more
M. Hemmati
K. Khaksaran
Z. Mahmodi
M. Mohsenzadegan
E. Raoufi
Publication date
1 January 2020
Publisher
Abstract
Immunoinformatics is a science that helps to create significant immunological information using bioinformatics softwares and applications. One of the most important applications of immunoinformatics is the prediction of a variety of specific epitopes for B cell recognition and T cell through MHC class I and II molecules. This method reduces costs and time compared to laboratory tests. In this state-of-the-art review, we review about 50 papers to find the latest and most used immunoinformatic tools as well as their applications for predicting the viral, bacterial and tumoral structural and linear epitopes of B and T cells. In the clinic, the main application of prediction of epitopes is for designing peptide-based vaccines. Peptide-based vaccines are a considerably potential alternative to low-cost vaccines that may reduce the risks related to the production of common vaccines. © 2019, Springer Nature B.V
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
eprints Iran University of Medical Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:eprints.iums.ac.ir:23459
Last time updated on 01/12/2020