AI-Guided Epitope Prediction and Neoantigen Vaccine Design
Live Registration
BATCH #24
03Seats Left
92% Booked
Registration Closed
Course Overview
Program Syllabus
Module 1
About This Course
In the era of precision medicine, the development of personalized vaccines targeting patient-specific neoantigens has become a breakthrough in immunotherapy. This 3-day live virtual workshop is designed to bridge the gap between immunoinformatics and artificial intelligence, focusing on the intelligent prediction and validation of B-cell and T-cell epitopes, crucial for vaccine development.
Participants will explore cutting-edge AI models such as DeepVacPred, NetMHCpan, DeepImmuno, and VaxiJen, alongside hands-on training in integrated workflows for predicting, ranking, and designing multi-epitope vaccine constructs. Real-world case studies on cancer neoantigen prediction and in silico validation techniques will prepare learners for impactful contributions in biotech and biopharma R&D.
Module 2
Aim
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.
Module 3
Workshop Objectives
-
Understand the principles of epitope prediction and neoantigen biology
-
Gain familiarity with key AI tools used for epitope analysis
-
Implement ML models for antigenicity and MHC binding prediction
-
Design multi-epitope vaccines and validate them using in silico tools
-
Evaluate real-world applications and challenges in AI-driven vaccinology
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI-Guided Epitope Prediction and Neoantigen Vaccine Design
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 4
Day 1: Fundamentals of Epitope Prediction & Neoantigen Biology
- Introduction to Vaccinology and Immunoinformatics
- Overview of Epitopes: B-cell vs. T-cell
- Concept of Neoantigens and Personalized Vaccines
- Introduction to Key Tools: IEDB, NetMHC, VaxiJen
- Demo: Using IEDB for Basic Epitope Prediction
Module 5
Day 2: AI and ML in Epitope Prediction
- Machine Learning for Epitope Prediction – An Overview
- Deep Learning Models for Antigenicity & MHC Binding
- Tools: DeepVacPred, NetMHCpan, DeepImmuno, ABCpred
- Case Study: Cancer-specific Neoantigen Prediction
- Hands-on: AI-based Workflow for Epitope Ranking
Module 6
Day 3: Vaccine Design and In Silico Validation
- Constructing Multi-epitope Vaccines: Linkers, Adjuvants
- Population Coverage & Allergenicity Prediction
- Validation Tools: AllerTOP, ToxinPred, PEP-FOLD
- Real-World Applications & Challenges
- Final Demo: Design a Candidate Vaccine Using AI Tools
Module 7
Who Should Enrol?
-
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.
Module 8
Important Dates
Module 9
Registration Ends
08/19/2025
IST 7:00 PM
Module 10
Workshop Dates
08/19/2025 – 08/21/2025
IST 8:00 PM
Module 11
Workshop Outcomes
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
Module 12
Fee Structure
Module 13
Student Fee
₹1399 | $50
Module 14
Ph.D. Scholar / Researcher Fee
₹1699 | $55
Module 15
Academician / Faculty Fee
₹2199 | $60
Module 16
Industry Professional Fee
₹2699 | $85
Module 17
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Module 18
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 19
Publication Opportunity
Get published in a prestigious open-access journal.
Module 20
Centre of Excellence
Become part of an elite research community.
Module 21
Networking & Learning
Connect with global researchers and mentors.
Module 22
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 23
View All Feedbacks →
Need Help?
We’re here for you!
★★★★★
Scientific Paper Writing: Tools and AI for Efficient and Effective Research Communication
Kevin Muwonge • ★★★★★
Green Catalysts 2024: Innovating Sustainable Solutions from Biomass to Biofuels
Ranvir Singh • ★★★★★
Generative AI and GANs
António Ricardo de Bastos Teixeira • ★★★★★
Build Intelligent AI Apps with Retrieval-Augmented Generation (RAG)
Alexandros Karakikes • View All Feedbacks →