COMBINATIONAL VACCINE DESIGN USING MOTIF FINGERPRINTS TO COUNTER KNOWN AND UNKNOWN PATHOGENS

15 Jun 2017
09:45 - 10:00

COMBINATIONAL VACCINE DESIGN USING MOTIF FINGERPRINTS TO COUNTER KNOWN AND UNKNOWN PATHOGENS

Willy Valdivia, CEO of Orion Integrated Biosciences

Here we summarize the development of an advanced computational and synthetic biology approach to rapidly design and express broad spectrum combinatorial vaccines capable to elicit broad protective immune responses against several pathogen species of biodefense relevance. Our approach combines advanced genomic-based computational analysis algorithms to discover and prioritize lead-candidate antigens. These epitopes are prioritized for their binding affinity to different alleles of the HLA-I or/and HLA-II. Recombinant proteins that have been generated by rational and combinatorial protein engineering strategies are used in subunit vaccine designs using lambda bacteriophages. The number and combination of motif fingerprints required to elicit a spectrum combinatorial vaccine is synthetized conjugated. At the core of our effort lays a new genome analysis algorithms and database management systems that scan a pathogen genome and identify segments that are conserved and specific. This target selection and prioritization process has identified protein segments conserved and specific across several species of viruses and bacteria. These motif fingerprints (MF) do not overlap, but they may be contiguous in 3-dimensional protein space. Our effort will significantly reduce the time needed to start vaccine output and exploit next generation sequencing to develop prophylactic targets for newly discovered pathogens. When in the complex structure of a protein. This project will provide important insights into the development of new generation biodefense vaccines and the development of a rapid vaccine platform to protect against known and unknown biothreats. combinations of inserts in the same or different vector platforms increase the breadth of coverage in vaccines.