B-Cell Linear Epitope Prediction on VP2 Partial Coat Protein Predicted Model of CPV-2b Isolate using Bioinformatics

Canine parvovirus is the major cause of haemorrhagic gastroenteritis in canines worldwide. There is a high morbidity and mortality in the young puppies. The currently available CPV vaccine is protecting from all antigenic strains but still there is vaccination failure as the strains are emerging at higher rate. The VP2 coat protein is the major coat protein it contains many B-cell epitopes against which many neutralizing antibodies can form, this structural protein of parvovirus can produce virus-like particles (VLPs) by a self-assembly process in vitro, making VLPs attractive vaccine candidates. So in this study a predicted protein model of partial protein coat of canine parvovirus isolate obtained after PCR detection and cell culture adaptation is made along with the display of B cell linear epitopes using bioinformatics tools. The protein sequence is deduced from the nucleotide sequence of the isolate obtained after sequencing. The length of nucleotide sequence of partial coat protein of CPV-2b isolate was 424 bp long the translated protein was 125 amino acid long and the B-Cell linear epitopes lies between the 59-75 amino acid positions. So in conclusion B-Cell epitope prediction on 3D model of CPV-2b isolate will be helpful in the vaccine design and for the production of therapaeutic antibodies moreover immunoinformatics is time saving does not requires extensive labour and animal experimentation.