Creative BioMart offers this comprehensive data analysis service to help researchers further prioritize epitopes after obtaining MHC-peptide stability and affinity analysis data. As an extension of the epitope binding test service, this service can help developers formulate follow-up research strategies and reduce workload.

Rapid Selection and Identification of Functional Epitopes

Computational algorithms are increasingly used in biological modeling and offer the potential to reduce the time and expense of immunoassays. Computational algorithms initially proved to be useful tools for predicting potential epitopes that might elicit high-quality T-cell responses. Computational algorithms that predict potential HLA-binding T-cell epitopes can facilitate the design of vaccines that promote immunity to specific antigens and, of course, the speed of functional epitope selection and identification. In the case of HIV, the high variability of HIV-1 and the broad genetic polymorphism of HLA molecules can be managed in silico. This allows for immunogen optimization to increase the breadth and magnitude of T cell responses with respect to HLA allele frequencies and circulating virus strains in different populations. Computational optimization of immunogens facilitates the development of multivalent and mosaic vaccines. Computational approaches aim to identify the optimal epitopes relevant for vaccine development and are not limited to HIV-1 but a broad range of pathogens, and thus various statistical validation methods have been applied to evaluate these. For the epitope library that passes the screening, priority analysis should be carried out to shorten the development cycle.

Fig.1 Computational Design of Epitope-Specific Functional Antibodies. (Guy Nimrod et al., 2018)

Featured Epitope Priority Analysis and Rank Epitopes

Through binding affinity and stability assays, our experimental platform can assist researchers in comprehensive analysis of data. Effective epitope priority ranking can help researchers quickly eliminate up to 95% of false positives. These reliable data ranking epitopes based on their immunogenicity provide researchers with a reference for safety considerations and immunogenicity analysis. Our epitope analysis is based on a series of in vitro experiments but has extraordinary accuracy in finding validated epitopes. By incorporating affinity and stability assessments of MHC/epitope interactions, the Creative BioMart platform reduces the risk of inaccuracies and false positives that can occur in studies based solely on affinity measurements. In addition, this service can also combine analytical data with database access analysis. Combined with commercial peptide library interrogation, we can provide low-cost access to hundreds of epitope peptides in a short period of time, enabling rapid prioritization of epitopes for analysis.

Advantages of Creative BioMart

• This service enables a comprehensive analysis of the results of the MHC-peptide binding test service, drawing a more comprehensive blueprint for researchers.
• Our platform aims to refine the analysis standards of MHC binding tests and establish a more complete evaluation system.
• Our platform has a strong bioinformatics team and high-quality product suppliers, which can provide high-quality analytical services.

If you are interested in our services, please contact us for cooperation.

Reference

• Nimrod, Guy, et al. "Computational design of epitope-specific functional antibodies." Cell reports 25.8 (2018): 2121-2131.