AI-Guided Epitope Prediction and Neoantigen Vaccine Design

This workshop aims to equip participants with foundational and advanced knowledge of AI-powered epitope prediction and neoantigen vaccine design. It focuses on integrating immunoinformatics, machine learning, and structural bioinformatics tools for designing personalized vaccines, especially in oncology and infectious diseases.

1. Understand the principles of epitope prediction and neoantigen biology

2. Gain familiarity with key AI tools used for epitope analysis

3. Implement ML models for antigenicity and MHC binding prediction

4. Design multi-epitope vaccines and validate them using in silico tools

5. Evaluate real-world applications and challenges in AI-driven vaccinology

• Undergraduate or postgraduate degree in Biotechnology, Bioinformatics, Computational Biology, or related life science disciplines.

• Professionals working in immunology, vaccine research, or computational drug design.

• Individuals with a keen interest in AI applications in healthcare and personalized medicine.

By the end of the workshop, participants will:

• Grasp the biological fundamentals of epitopes and neoantigens

• Use AI tools to predict and analyze antigenic peptides

• Build and validate a personalized multi-epitope vaccine model

• Analyze population coverage and allergenicity

• Gain hands-on experience with ML models and real-world datasets