Very Intresting read:)
www.cam.ac.uk/research/news/cambridge-research-team-working-towards-vaccine-against-covid-19
“A vaccine strategy needs to be laser specific, targeting those domains of the virus’s structure that are absolutely critical for docking with a cell, while avoiding the parts that could make things worse,” he says. “Our technology does just that.”
Their approach is to look at the genetics of these viruses to identify the key piece of genetic code that the virus uses to produce the essential part of its coat, the spikes, that are important for docking with a cell and to target these elements with the vaccine.
“What we end up with is a mimic, a mirror image of part of the virus, but minus its bad parts, the non-essential parts that could trigger those bad immune responses. What remains is just the magic bullet, essentially, to trigger the right type of immune response.”
Then, using a combination of artificial intelligence and synthetic biology, the team create a vaccine that includes this piece of genetic code, which can be injected into an individual. The body’s immune cells will then find it, decode it and us the information to program the rest of the immune system to produce antibodies against it.
The next step is to then test the vaccine in pre-clinical trials – in other words, give the vaccine to mice to check that it is safe to use. Mice are an important part of vaccine research: their physiology and immune systems are similar enough to ours to enable researchers to minimise the risk to humans taking part in clinical trials.
DIOSynVax’s approach is much faster than current vaccine development technologies, says Heeney, which means that even allowing for essential pre-clinical mouse studies, his vaccine candidate could be ready for human clinical trials as early as June. He is currently seeking funding to pursue his work further and a pharmaceutical company with whom to partner on clinical trials