Designing the Type-A Flu Vaccine
Tracking the H3N2 and H1N1pdm
Tracking the H3N2 and H1N1pdm
The purpose of this website is to make a scientific contribution towards the prediction and design of flu vaccines using computational methods. The content is suitable for anyone interested in learning how the in-silico methods are revolutionizing vaccinology. The companion website FutureVirus.org is more tutorial oriented and a recommended starting point for those new to the field.
FutureFlu.org and FutureVirus.org are being regularly updated with the data from labs worldwide.
FutureVirus is currently tracking the COVID-19 and flu strains and predicting their future paths. It will be expanded to other viruses in future.
FutureFlu is utilizing bioinformatics tools and custom developed software to calculate the candidate seasonal vaccine for the upcoming flu season. For two years in a row, the computed vaccines have been a perfect match with those recommended later by the World Health Organization (WHO) and Centers for Disease Control (CDC).
FutureFlu has created a Fourier-enhanced Phylogeny/Antigenicity Predictive Model (F^P/A-PM) to calculate the seasonal flu vaccine. The mathematical model analyzes the historical influenza data using reverse vaccinology. Reverse vaccinology is the science of studying the dynamic patterns in the genomic data to select antigenic targets and
FutureFlu has created a Fourier-enhanced Phylogeny/Antigenicity Predictive Model (F^P/A-PM) to calculate the seasonal flu vaccine. The mathematical model analyzes the historical influenza data using reverse vaccinology. Reverse vaccinology is the science of studying the dynamic patterns in the genomic data to select antigenic targets and to design vaccines. It blends computational biology with the conventional lab-based assays.
2021-02-05. FutureFlu is recommending the following vaccines for the 2021-22 flu season. A/Virginia/11681/2020 and A/Macao/600028/2020 for the H1N1pdm and H3N2 components of the vaccine, respectively. .
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