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BioinformaticsComputational and Structural Biotechnology Journal
Peer-reviewed journal article

In Silico Vaccine Design: Targeting Highly Epitopic Regions of Clostridium perfringens Type D Epsilon Toxin and Clostridium novyi Type B Alpha Toxin for Optimal Immunogenicity

Nastaran Ashoori, Mohammad Mehdi RanjbariD, Romana SchirhagliD

Abstract

Livestock infections caused by highly toxic bacteria pose significant challenges in veterinary medicine, often requiring complex and elusive treatment regimens. Developing effective vaccines tailored to combat these specific pathogens remains a pressing need within the field. Among the most formidable culprits are Clostridium perfringens type D and Clostridium novyi type B, notorious for their extreme toxicity and the difficulty in culturing them for vaccine production. In response to this challenge, our study endeavors to engineer a vaccine candidate capable of concurrently neutralizing the virulence of both bacterial strains. Leveraging computational techniques, we meticulously identified highly epitopic regions within C. perfringens Epsilon Toxin (ETX) and C. novyi Alpha Toxin (ATX), crucial targets for effective immunization. Through innovative fusion gene design, we integrated these epitopic regions alongside the PADRE-peptide sequence, serving as a universal adjuvant to bolster immune response. The culmination of our efforts materialized in the creation of Recombinant Fusion Protein D (rFPD), a novel vaccine construct poised to elicit robust and specific immune defenses against both bacterial species. By harnessing the power of in silico design and molecular engineering, our study heralds a promising stride towards mitigating the deleterious impact of livestock infections caused by these formidable pathogens.

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Citations
2
FWCI
0.27
Field percentile
47th percentile

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