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
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引用次数: 0
Abstract
Livestock infections caused by highly toxic bacteria, such as Clostridium perfringens type D and Clostridium novyi type B, present significant challenges in veterinary medicine. Such infections often require complex and elusive treatment regimens. Developing effective vaccines tailored to combat these specific pathogens remains a pressing need within the field. These bacteria are notorious for their extreme toxicity and the difficulty in culturing them for vaccine production. To address this challenge, we engineered a new potential vaccine candidate capable of neutralizing the virulence of both bacterial strains. Leveraging computational techniques, we identified epitopic regions within C. perfringens Epsilon Toxin (ETX) and C. novyi Alpha Toxin (ATX). Through fusion gene design, we integrated these epitopic regions alongside the PADRE-peptide sequence. The PADRE-peptide serves as a universal adjuvant to induce an immune response. The culmination of our efforts materialized in a Recombinant Fusion Protein D (rFPD), a novel vaccine construct designed to elicit robust and specific immune defenses against both bacterial species. By combining in-silico design and molecular engineering, our study represents a promising stride toward combating the impact of these pathogenic bacteria in livestock.
由 D 型产气荚膜梭菌和 B 型新梭菌等剧毒细菌引起的家畜感染给兽医学带来了巨大挑战。此类感染通常需要复杂而难以捉摸的治疗方案。开发针对这些特定病原体的有效疫苗仍然是这一领域的迫切需要。这些细菌因其剧毒和难以培养以生产疫苗而臭名昭著。为了应对这一挑战,我们设计了一种新的潜在候选疫苗,能够中和这两种细菌菌株的毒性。利用计算技术,我们确定了 C. perfringens Epsilon Toxin (ETX) 和 C. novyi Alpha Toxin (ATX) 的表位区。通过融合基因设计,我们将这些表位区与 PADRE 肽序列整合在一起。PADRE 肽是诱导免疫反应的通用佐剂。我们的最终成果是重组融合蛋白 D (rFPD),这是一种新型疫苗构建物,旨在激发针对两种细菌的强效特异性免疫防御。通过将室内设计与分子工程相结合,我们的研究代表着在抗击这些致病菌对家畜的影响方面迈出了充满希望的一步。
期刊介绍:
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to:
Structure and function of proteins, nucleic acids and other macromolecules
Structure and function of multi-component complexes
Protein folding, processing and degradation
Enzymology
Computational and structural studies of plant systems
Microbial Informatics
Genomics
Proteomics
Metabolomics
Algorithms and Hypothesis in Bioinformatics
Mathematical and Theoretical Biology
Computational Chemistry and Drug Discovery
Microscopy and Molecular Imaging
Nanotechnology
Systems and Synthetic Biology