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Summary
A universal vaccine has more potential compared to traditional ones in protecting vulnerable populations from various strains and even future variants. As universal vaccine development mainly focuses on the unchanged part of the virus or conserved region. The normal process of universal vaccine development, or any vaccine development, would take a long time, especially in the human trial, to ensure that the vaccine has a good safety record before the government finally approves it.
it is vital to develop the vaccine or therapeutics reagents that will continue to protect against any new versions of the virus that may emerge. As with influenza, traditional vaccines do not produce durable, productive immunity and a cross-reactive immune response that can neutralize diverse influenza viral strengths. We could control T cell behavior in a therapeutic way that stimulates its function when we get infected and, at the same time, customize it for different types of patients. Computational technology could be a great help in collaborative experiments where we have virtually computed all the strengths from the beginning of the pandemic to that current time point, resulting in over 1,000 different strengths. Computational technology could speed up design and even help discover new phenomena in biology in the future.
Show Notes
A universal vaccine has more potential compared to traditional ones in protecting vulnerable populations from various strains and even future variants. As universal vaccine development mainly focuses on the unchanged part of the virus or conserved region. The normal process of universal vaccine development, or any vaccine development, would take a long time, especially in the human trial, to ensure that the vaccine has a good safety record before the government finally approves it.
it is vital to develop the vaccine or therapeutics reagents that will continue to protect against any new versions of the virus that may emerge. As with influenza, traditional vaccines do not produce durable, productive immunity and a cross-reactive immune response that can neutralize diverse influenza viral strengths. We could control T cell behavior in a therapeutic way that stimulates its function when we get infected and, at the same time, customize it for different types of patients. Computational technology could be a great help in collaborative experiments where we have virtually computed all the strengths from the beginning of the pandemic to that current time point, resulting in over 1,000 different strengths. Computational technology could speed up design and even help discover new phenomena in biology in the future.
