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DSTC-00349 Online (e-LMS) Graduate / Intermediate

Epitope Prediction and Neoantigen Vaccine Design Course

by - DSTC

Design personalised cancer vaccines by predicting neoantigens.

★★★★★ Be the first to review 4 Weeks · 40 hrs e-Certificate Included
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From ₹2,500 + GST

Programme Parameters

Educational Level:
Graduate / Intermediate
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

Epitope Prediction and Neoantigen Vaccine Design explores one of the most exciting directions in personalised medicine: vaccines tailored to a patient’s own tumour. You learn how tumour mutations create neoantigens, and the computational pipeline that finds the ones worth targeting — calling mutations, predicting which peptides bind MHC and are presented, and ranking candidate epitopes for immunogenicity. The course connects these prediction methods to real neoantigen-vaccine design and the challenges of turning a bioinformatic candidate into an effective therapy. You finish able to reason through a neoantigen-discovery workflow. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

This course covers epitope prediction and neoantigen vaccine design — identifying tumour-specific antigens and predicting immune epitopes to design personalised cancer vaccines.

📋 Course Objectives

1. Explain how tumour mutations create neoantigens.
2. Predict MHC binding and antigen presentation.
3. Rank candidate epitopes for immunogenicity.
4. Assemble a neoantigen-discovery pipeline.
5. Connect predictions to vaccine design.

👥 Who Should Enroll?

• Immunology and cancer researchers
• Bioinformatics and computational-biology scientists
• Immuno-oncology and biotech professionals
• Students of cancer immunotherapy

🚀 Key Learning Outcomes

• An understanding of neoantigen vaccine design.
• The ability to reason about epitope prediction.
• A foundation in cancer immunoinformatics.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Foundations of Epitope Prediction And Neoantigen Vaccine Design and Core Biological Principles

Implement computational vaccinology with Immunoinformatics for practical foundations of epitope prediction and neoantigen vaccine design and core biological principles applications and outcomes. • Design neoantigen analysis with DNA sequencing for practical foundations of epitope prediction and neoantigen vaccine design and core biological principles applications and outcomes. • Analyze genomic analysis with protein structure for practical foundations of epitope prediction and neoantigen vaccine design and core biological principles applications and outcomes.

Module 2 Outline

Laboratory Techniques, Protocols, and Data Collection

Implement computational vaccinology with Immunoinformatics for practical laboratory techniques, protocols, and data collection applications and outcomes. • Design neoantigen analysis with DNA sequencing for practical laboratory techniques, protocols, and data collection applications and outcomes. • Analyze genomic analysis with protein structure for practical laboratory techniques, protocols, and data collection applications and outcomes.

Module 3 Outline

Bioinformatics Tools and Computational Analysis

Implement computational vaccinology with Immunoinformatics for practical bioinformatics tools and computational analysis applications and outcomes. • Design neoantigen analysis with DNA sequencing for practical bioinformatics tools and computational analysis applications and outcomes. • Analyze genomic analysis with protein structure for practical bioinformatics tools and computational analysis applications and outcomes.

Module 4 Outline

Research Methodology and Experimental Design

Implement computational vaccinology with Immunoinformatics for practical research methodology and experimental design applications and outcomes. • Design neoantigen analysis with DNA sequencing for practical research methodology and experimental design applications and outcomes. • Analyze genomic analysis with protein structure for practical research methodology and experimental design applications and outcomes.

Module 5 Outline

Advanced Epitope Prediction And Neoantigen Vaccine Design Applications and Translational Research

Implement computational vaccinology with Immunoinformatics for practical advanced epitope prediction and neoantigen vaccine design applications and translational research applications and outcomes. • Design neoantigen analysis with DNA sequencing for practical advanced epitope prediction and neoantigen vaccine design applications and translational research applications and outcomes. • Analyze genomic analysis with protein structure for practical advanced epitope prediction and neoantigen vaccine design applications and translational research applications and outcomes.

Module 6 Outline

Regulatory Compliance, Bioethics, and Safety Standards

Implement computational vaccinology with Immunoinformatics for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Design neoantigen analysis with DNA sequencing for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Analyze genomic analysis with protein structure for practical regulatory compliance, bioethics, and safety standards applications and outcomes.

Module 7 Outline

Industry Applications, Career Pathways, and Case Studies

Implement computational vaccinology with Immunoinformatics for practical industry applications, career pathways, and case studies applications and outcomes. • Design neoantigen analysis with DNA sequencing for practical industry applications, career pathways, and case studies applications and outcomes. • Analyze genomic analysis with protein structure for practical industry applications, career pathways, and case studies applications and outcomes.

Technical Specifications

ParameterRequirement
Covered Tool / PlatformNCBI Tools
Covered Tool / PlatformBLAST
Covered Tool / PlatformPyMOL
Covered Tool / PlatformAutoDock
Covered Tool / PlatformChemDraw
Covered Tool / PlatformClustal Omega
Covered Tool / PlatformPython

Frequently Asked Questions

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

Learners should have a foundational understanding of Biotechnology concepts. Familiarity with basic tools and programming is recommended.

You will have access to all course materials for the duration of 4-6 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Biotechnology. Our mentors are industry experts and experienced professionals. Enroll in Epitope Prediction and Neoantigen Vaccine Design Course today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Biotechnology skills that matter.

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