Investigating the possibility of recombination the predicted antigenic fragment of Streptococcus Pyogen hyaluronidase by bioinformatics softwares

 Introduction: One of the main difficulties facing the production of recombinan Streptococcus pyrogenesisa hyaluronidase enzyme is its high molecular weight. The aim of this study was to predict the antigenic regions of hyaluronidase protein, the structure of fragment and evaluating the possibility of cloning the fragment in pTZ57R/T vector by the aid of bioinformatic’s software. Materials and Methods: Multiple hyaluronidase amino acid sequences were aligned, using Clustal W method and MegAlign software, followed by BLASTP analysis. Antigenic regions and important epitopes in consensus sequences were determined by using online softwares ABCpred, BcePred and Emboss. The tertiary structure of determined antigenic regions was predicted by using TASERI and specified model was evaluated by using Swiss-PDB Viewer Software. Finally, intended fragment was inserted in pTZ57R/T vector. Results: The consensus sequence had 868 amino acids, which the residues 279 to 773 were selected as prominent antigenic region in order to shorten the sequence by using online software. Finally, the result was shown as the proper recombination of antigenic region of hyaluronidase gene with pTZ57R/T. Conclusion: The utilization of bio informatics tools to predict or determine the prominent antigenepitopic fragments, facilitated the recombinant process due to using the shorter fragments and generating more effective and specific immune response by the enzyme protein