Abstract
BackgroundAfrican swine fever (ASF), characterized by acute, severe, and fast-spreading, is a highly lethal swine infectious disease caused by the African swine fever virus (ASFV), which has caused substantial economic losses to the pig industry worldwide in the past 100 years.MethodsThis study started with bioinformatics methods and verified the epitope fusion protein method's reliability that does not rely on traditional epitope identification. Meanwhile, it will also express and purify the constructed genes through prokaryotic expression and establish antibody detection methods.ResultsThe results indicated that the protein had good reactivity and did not cross-react with other swine diseases. The receiver-operating characteristic analysis was performed to verify the determination. The area under the receiver-operating characteristic curve was 0.9991 (95% confidence interval 0.9973 to 1.001).ConclusionsIt was proved that the recombinant protein is feasible as a diagnostic antigen to distinguish ASFV and provides a new idea for ASFV antibody detection.
Highlights
African swine fever (ASF) is an acute, highly contagious swine infection caused by African swine fever virus (ASFV), with a fatality rate of up to 100% [1]
To study whether the bioinformatics method can be used as a biological tool worthy of our trust, we predict the epitope of ASFV and use specific tests to prove whether it meets the expected effect
We expressed the fusion gene in the prokaryotic expression system, analyzed the recombinant protein’s immune characteristics by Western blot, and established an indirect enzyme-linked immunosorbent assay (ELISA) method based on the protein, offering an effective way for the timely diagnosis of ASFV
Summary
This study started with bioinformatics methods and verified the epitope fusion protein method’s reliabil‐ ity that does not rely on traditional epitope identification. It will express and purify the constructed genes through prokaryotic expression and establish antibody detection methods
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