Abstract
Outer membrane proteins (OMPs) are one of the prominent virulence factor or immunogenic element of Pasteurella multocida which are responsible for eliciting immune responses in multiple infected hosts. Identification of these proteins allows researchers to target OMPs to be manipulated as a vaccine against bacterial infection. Precise and rapid bioinformatics tools allow researchers to perform in silico analysis to extract putative OMPs from the genome information. In this study, we have successfully identified 105 putative OMPs of P. multocida subsp. multocida strain PMTB2.1 through computational prediction tools including a subcellular localisation predictor, PSORTb v3.0 followed by a lipoprotein predictor, LipoP 1.0 and a β-barrel transmembrane protein predictor, BOMP for sub-classification of the OMPs into 53 integral and 52 peripheral OMPs of this strain. The manipulation of antigenic epitope predictors and the antigenicity score filtering identified nine putative antigenic OMPs. These putative predicted antigenic OMPs of this pathogen will provide crucial initial guidance for the experimental identification and selection of antigenic protein(s) for the development of future haemorrhagic septicaemia (HS) vaccine.
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