Description:
This course focuses on Reverse Vaccinology and the use of Molecular Dynamics (MD) simulations in vaccine design. Learners will explore how pathogen genome sequences can be used to predict vaccine candidates, identify antigenic regions from genomic data, and model the interactions between antigens and immune receptors. The course provides hands-on experience using tools like MOE, Schrödinger Desmond, and GROMACS for molecular dynamics simulations, allowing students to study the stability and interactions of antigen-receptor complexes over time.
Learning Outcomes:
By the end of this course, learners will be able to:
Apply reverse vaccinology techniques to identify vaccine candidates from pathogen genome sequences.
Perform molecular dynamics simulations to study the stability of antigen-receptor complexes.
Predict how epitopes interact with MHC molecules or antibodies using advanced simulation tools.
Use computational tools to study the stability and behavior of vaccine candidates in dynamic environments.