ABSTRACT In silico comparative study of sixteen selected calcium channel inhibiting spider toxins, were made through different bioinformatics tools. Amino acid composition is predicted through Expasy's Protparam. Secondary structure analysis were done through Expasy's GOR. Hydropathy was predicted through Expasy's Protscale. TMHMM 2.0 was used for predicting disulfide bonds. Signal peptide prediction was done by Signal P 4.1 server. Cysteine disulfide bond prediction was made by DiANNA 1.1 web server. Prdos software was used for predicting protein disordered region. GenomeNet was applied for motif prediction. Phylogenetic tree was constructed by Clustal W. POPI 2.0 was used for immunogenicity prediction of these spider toxins. Results elaborated a total predictive in silico picture of various properties of these sixteen spider toxins in a comparative fashion including its immunogenicity, disorder level and evolutionary and phylogenic relationships. Hence such comparative, in silico visualization of these spider toxins can be effective in future for in vitro research on these toxins and also properties of calcium channel proteins
