Prediction of Potential Epitopes for Peptide Vaccine Formulation Against Teschovirus A Using Immunoinformatics

Abstract

Teschovirus A belongs to the family Picornaviridae and is a causal agent of the disease Teschovirus encephalomyelitis and other infections that remain asymptomatic. The present study was performed to design epitope-based peptide vaccine against Teschovirus A by identifying the potential T cell and B-cell epitopes from capsid proteins (VP1, VP3 and VP2) of the virus using reverse vaccinology and immunoinformatics approaches. In the current study, hexapeptide T-cell and octapeptide B-cell epitopes were analyzed for immunogenicity, antigenicity and hydrophilicity scores of each epitope. Each potential epitope was further characterized using ExPASy-ProtParam and Antimicrobial Peptide Database (APD3) tools for determining various physical and chemical parameters of the epitope. One linear hexapeptide T-cell epitope, i.e., RPVNDE (epitope position 77-82) and one linear octapeptide B-cell epitope, i.e., AYSRSHPQ (236-243) were identified from the viral capsid protein as they possess the capability to raise effective immunogenic reaction in the host organism against the virus. Pharmaceutical industries could harness the results of this investigation to develop epitope-based peptide vaccines by loading the identified epitopes in combination with targeting signal peptides of T-cells and B-cells and then inserting the combination into virus like particle (vlp) or constructing subunit vaccines for further trial.

Bioinformatics analysis and consistency verification of a novel tuberculosis vaccine candidate HP13138PB

“…The Expasy Protparam server ( ) was used to predict the physicochemical parameters of the peptide-based vaccine. It can predict the vaccine’s physicochemical properties, such as molecular weight, theoretical pI, amino acid composition, atomic composition, extinction coefficient, estimated half-life, instability index, aliphatic index, and grand average of hydropathicity (GRAVY) ( 34 ). The Protein–Sol server ( ) was used to predict the solubility of peptide-based vaccines ( 35 ).…”

Immunoinformatics, molecular docking and dynamics simulation approaches unveil a multi epitope-based potent peptide vaccine candidate against avian leukosis virus

“…In this study a vaccine with multi-epitopes was designed and showed increased immunogenicity and enhanced immune responses as a result of the existence of epitopes from various target genes. Also the designed vaccine activated the humoral and cell-mediated immunity as previously described 75 . These could solve limitations occurred during controlling the ALV infection 75 , 76 .…”

A novel strategy for developing vaccine candidate against Jaagsiekte sheep retrovirus from the envelope and gag proteins: an in-silico approach

“…During vaccine development, this approach can also overwhelm limits including genetic variations, antigenic drifts, and antigenic shifts [29]. Recently, epitopebased vaccines researches for different animals are vastly growing with successful results [29][30][31]. This study is the first in silico analysis study that aimed to predict multiepitopes vaccine against the Jaagsiekte retrovirus.…”