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InSilicoVaccine – Influenza A ​

Design from Scratch an Influenza Vaccine


Influenza A is a viral infection responsible for seasonal flu outbreaks. The content focuses on leveraging immunoinformatics and agent-based modeling to design and assess Influenza A vaccines more efficiently, aiming to combat the challenges posed by this infectious disease, including rapid viral mutations.

Question of Interest

How can we optimize Influenza A vaccine design by specifically targeting the protein sequences of HA, NA, and M2, critical components of the virus?


IMMUNOINFORMATICS: Recombinant Vector Design

Epitope selection and vaccine design – Workflow of bioinformatics tools to optimize epitopes


AGENT-BASED MODEL: Dynamic simulations

Immune and influenza disease stimulation – Virtual patient simulations, predicting vaccine efficacy


Personalized virtual patient prediction of response to infection – Response to vaccine administration and virus infection


  • In silico methods can help speed up the vaccine development process by using computational models to predict the efficacy and safety of potential vaccine candidates.
  • In silico methods can also be used to optimize vaccine design by predicting the most effective antigen sequences or adjuvants to elicit a robust immune response. This could help improve the efficacy of vaccines and reduce the risk of viral mutations.

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