Nikolai Petrovsky*


Flinders University
SA, Australia


Highly adaptable viruses including influenza and HIV continue to circumvent attempts to control them using traditional antiviral or vaccine approaches. To overcome such challenges better understanding is needed of viral antigenic structures and their evolution, together with better ability to induce strong adaptive immune responses to synthetic antigens. In silico structural modelling approaches can be used to identify key pathogen features that can then be incorporated into synthetic antigens to build novel vaccine candidates. Similarly, we have recently shown that high-throughput in silico screening approaches can be used to identify novel immune-modulators able to enhance vaccine responses. Increasingly, computational tools will enable ultrarapid creation of vaccines designed to induce broadly cross-neutralising and long-lasting B and T cell memory responses. We are thereby entering an era of intelligent vaccine design, whereby computational tools will be indispensable for design of synthetic vaccines effective against rapidly evolving viral targets.