1st International and 10th National Iranian Conference on Bioinformatics

Bioinformatics analysis of Epitope-based candidate vaccine against the novel (SARS-CoV-2)

Paper ID : 1466-ICB10

Authors:

Romina Norouzi, Sajjad Gharaghani *

دانشگاه تهران

Abstract:

: the complete sequence of SARS-CoV-2 genome that get from NCBI (ACCESSION number: NC_045512.2) use in this study, and find ORF in the genome and to find signal peptide, use signalp database. for assessment of allergenicity of these proteins, use ALGpred database and filter protein based on amino acid composition and Blast search on allergen representative peptides (ARPs), and choose a protein that both algorithms confirmed that proteins are not Allergen. To investigate immunogenicity of proteins, use the vaxijen server and choose proteins with a threshold Overall Prediction for the Protective Antigen score up to 0.9.for toxicity analysis of proteins uses the Toxinpred database. To remove inside cell membrane proteins use (TMHMM) database. To Epitope prediction use IEDB, for linear epitope prediction and CBTOPE database for conformational epitope prediction. Epitopes that pass the criteria of toxicity, allergenicity, antigenicity are chose and sort based on scores, then get-togethers with linker (KK, GGGGS), and adjuvant (OmpA) (GenBank: AFS89615.1) add. (6xHis-tag) adds at the C terminal end of the vaccine construct. Use cluspro server for molecular docking study to identify binding affinity characterizing of candidate vaccines 1 and 2 with MHC Class I and MHC Class II.

Keywords:

Keyword: SARS-CoV-2: Epitope-based, vaccine design

Status : Paper Accepted (Poster Presentation)