In Silico Vaccine Development

• 1. Epitope Prediction

  • T-cell epitope prediction
  • B-cell epitope prediction
  • MHC binding affinity prediction
  • Epitope conservation analysis across pathogen strains

• 2. Antigen Design

  • Reverse vaccinology for antigen identification
  • Structural modeling of antigens
  • Antigen stability prediction
  • Multi-epitope vaccine design
  • Docking simulations of antigen-antibody interactions

• 3. Immune Response Simulation

  • Agent-based modeling of immune responses
  • Systems biology approaches to predict vaccine efficacy
  • In silico immune system modeling
  • Prediction of immunogenicity and reactogenicity

• 4. Adjuvant Optimization

  • In silico screening of adjuvant compounds
  • Prediction of adjuvant-antigen interactions
  • Modeling of adjuvant impact on immune response
  • Molecular docking of adjuvants with immune receptors

• 5. Delivery System Design

  • Nanoparticle-based vaccine delivery simulation
  • Prediction of vaccine stability in various delivery formats
  • Modeling of controlled release profiles for vaccine components