Science and Education Publishing
From Scientific Research to Knowledge
Submission
Browse by Subjects
Search
Journal Home
For Authors
Online Submission
Current Issue
Archive
About Us
Figures index
From
Multi Epitopes Vaccine Prediction against Severe Acute Respiratory Syndrome (SARS) Coronavirus Using Immunoinformatics Approaches
Yassir A. Almofti, Khoubieb Ali Abd-elrahman, Sahar Abd Elgadir Gassmallah, Mohammed Ahmed Salih
American Journal of Microbiological Research
.
2018
, 6(3), 94-114 doi:10.12691/ajmr-6-3-5
Figure
1.
Phylogenetic tree of the 131 retrieved strains. The retrieved strains demonstrated divergence in their common ancestors
Full size figure and legend
Figure
2.
Prediction of B-cell epitopes by different IEDB scales (
A-
Bepipred linear epitope prediction,
B-
Emini surface accessibility,
C-
Kolaskar and Tongaonkar antigenicity prediction). Regions above threshold (red line) are proposed to be a part of B cell epitope while regions below the threshold (red line) are not
Full size figure and legend
Figure
3.
Position of proposed conserved B cell epitopes in structural level of spike S protein of SARS-CoV. Three epitopes were predicted to interact with B cell. The epitopes showed conservancy, surface accessibility and antigenicity using IEDB software
Full size figure and legend
Figure
4.
T cell proposed epitopes that interact with MHC-I and/ or MHC-II. (A): The epitopes
47-
FRSDTLYLT
-55,
195-
YVYKGYQPI
-
203
and
880-
FAMQMAYRF
-888
were found to interact with both MHC-1 and MHC-II alleles. (B): The epitope
851-
MIAAYTAAL
-859
interacted with MHC-I alleles while the epitope
782-
FNFSQILPD
-790
interacted only with MHC-II alleles. The positions of proposed epitopes were shown in the 3D structural level of spike S protein of SARS-CoV
Full size figure and legend