Bioinformatics analysis of NetF proteins for designing a multi-epitope vaccine against Clostridium perfringens infection.

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ID: 265133
2020
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Abstract
Clostridium perfringens is an important human and animal pathogen that is the primary causative agent of necrotizing enteritis and enterotoxemia in many types of animals. C. perfringens produces a variety of toxins, including NetF which may plays a crucial role in the pathogenesis of foal and canine necrotizing enteritis. In this study, we used several bioinformatics methods to analyze various aspects of the NetF proteins, including the physicochemical properties, secondary and tertiary structures, and the dominant B-cell and T-cell epitopes. The results showed that NetF protein was a stable and hydrophilic protein. The secondary structure of the NetF protein consisted of 2.62% alpha helixes, 6.56% beta turns, 38.69% extended strands and 52.13% random coils. Moreover, several potential B and T-cell epitopes were identified for NetF. In addition, the obtained findings from antigenicity and allergenicity evaluation remarked that this protein is immunogenic and non-allergen. Based on the results of Ramachandran plot, 94.22%, 5. 42%, and 0.36% of amino acid residues were incorporated in the favored, allowed, and outlier regions, respectively. This study provides a foundation for further investigations, and laid a theoretical basis for the development of an appropriate vaccine against C. perfringens infection.
Reference Key
wang2020bioinformaticsinfection Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wang, Yanhua;
Journal Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Year 2020
DOI
S1567-1348(20)30292-6
URL
Keywords
bioinformatics analysis c. perfringens multi-epitope vaccine netf

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