The potential of putative zinc-binding motifs of haemagglutinin A (HA) protein for categorization and prediction of pathogenicity of H5 subtypes of avian influenza virus

2020
In the present study, we used the potential of bioinformatics and computational analysis to predict the existence and biological relevance of zinc finger (ZF) motifs in heamagglutinin A (HA) protein of Avian Influenza (AI) virus Sequence data of Avian Influenza (AI) virus were retrieved from accessible databases (GenBank, GISAID, IRD) and analyzed for the existence, as well as functional prediction of the putative zinc finger or ��zinc-binding�� motif(s) of HA protein It is hypothesized that the ZF motif(s) in HA of AI can be used as a ��novel�� biomarker for categorization of the virus and/or its virulence As a model for analysis, we used the H5 subtypes of highly pathogenic, non-pathogenic and low pathogenic avian influenza (HPAI, NPAI and LPAI) of H5N1 and H5N2 of avian and human origin Interestingly, our method of characterization using the zinc-finger agrees with the existing classification in distinguishing between highly pathogenic and non-pathogenic or low pathogenic subtypes The new method also clearly distinguished between low and non-pathogenic strains of H5N2 and H5N1 which are indistinguishable by the existing method that utilizes the sequence of amino acids of the proteolytic cleavage site for pathogenicity It is hypothesized that zinc through the activities of zinc-binding proteins modulates the virulence property of the viral subtypes Our observation further revealed that only the HA protein among the eight encoded proteins of influenza virus contain high numbers of Cys-His residues It is expected that the information gathered from the analysis of the data will be useful to generate more research hypotheses/designs that will give further insight towards the identification and control of avian influenza virus through the molecular manipulation of zinc finger motifs present in viral HA protein
    • Correction
    • Source
    • Cite
    • Save
    21
    References
    1
    Citations
    NaN
    KQI
    []
    Baidu
    map