in silico investigation for evaluation of the potential of the scla protein in streptococcus pyogenes

Background: streptococcus pyogenes is an important pathogen that is associated with a range of infections in humans, and causes common and severe invasive diseases. currently, antimicrobial therapy is the first choice for the treatment of s. pyogenes; however, the emergence of antimicrobial resistance and side effects of antibacterial drugs is increasing. consequently, there is an increased demand for novel drug targets and vaccine design.objectives: to develop an effective vaccine against streptococcus pyogenes (group a streptococcus) , we described a novel collagen-like surface protein of s. pyogenes which is important virulence factorsmaterials and methods: in this study, we focused on the scla protein of s. pyogenes and characterized it using bioinformatic tools to introduce it as a candidate novel drug as a candidate for use in vaccine design. the secondary structure was determined and the 3d structure was modeled using swiss-model workspace. the immune epitope database analysis (iedb) resource was used to predict regions of scla that are likely to be recognized as epitopes.results: the scla protein is present on the cell surface of the cell and has interact with a common ligand by its hypervariable nh2-terminal regions. the iedb showed that the maximum peptide length that is likely to be predicted as an epitope is of 6 amino acids, from amino acid 26 to 31, with a score of 4.791. this epitope can be considered for use in antibody and drug design.conclusions: data from this study about scla were not sufficient and further studies are needed; however, the information here suggests that scla could be a candidate for further research on the design of drugs and vaccines against s. pyogenes infections.