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IMMUNOINFORMATICS

Vaccine development using AI/ML

Learn how computational methods are used to study the immune system. Covers epitope prediction, vaccine design, antibody and TCR analysis, MHC binding prediction, and machine learning for immunological data.

All Levels 1 Months 0 Lessons 1 Learners English
Shristy Rathore
Course instructor Shristy Rathore
0Learning items
1 MonthsCourse duration
1Active learners
80%Completion rule
COURSE OVERVIEW

About this course

Everything you need to understand the course before you begin.

Capstone Project

Design a multi-epitope vaccine candidate for a chosen pathogen:

  1. Select antigen and predict epitopes
  2. Filter for conservation, antigenicity, non-allergenicity, non-toxicity
  3. Build the construct (linkers + adjuvant) and predict its structure
  4. Optimize codons and run immune simulation
  5. Present results with limitations and a wet-lab validation plan
COURSE CURRICULUM

What you will learn

Explore the complete learning path, section by section.

5Sections 0Lessons
01 Foundations 0 lessons
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02 Vaccine basics, types and immune system 0 lessons
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03 Development pipeline and AI/ML 0 lessons
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04 Databases: NCBI, UniProt, IEDB 0 lessons
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05 Python, Biopython, sequence features, model training aur metrics 0 lessons
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MEET YOUR INSTRUCTOR

Learn from experienced professionals

Instructor profiles are assigned directly from the LMS course workspace.

Shristy Rathore
Course Instructor

Shristy Rathore

Research Associate

Professional course instructor.