| 英文摘要 |
The application of bioinformatics in biological adjuvant development aims to leverage computational tools, data analysis, and predictive modeling to accelerate the discovery, design, and optimization of effective adjuvants. By enhancing our understanding of the immune system and its interactions with adjuvants, bioinformatics contributes to the development of safer and more potent vaccines and therapeutic treatments. In this study, our aim is to utilize bioinformatic tools for the analysis of Streptococcus suis Suilysin as a biological adjuvant. Subsequently, we will clone, express, and evaluate the immunostimulant effect of the screened recombinant Suilysin proteins in vitro. Furthermore, the preliminary results will be used to apply for additional funding to assess the immunostimulant effect of the adjuvant when combined with the antigen in vivo. |