Programme Parameters
Foundation
3 Days (4.5 Hrs)
Online (e-LMS)
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Immuno-chemoinformatics combines immunology + bioinformatics + chemoinformatics to accelerate the discovery of immune-targeted therapeutics such as vaccines, antibodies, immune modulators, and small molecules acting on immune pathways. Modern discovery increasingly relies on data-driven approaches—epitope prediction, antigen characterization, immunogenicity signals, toxicity screening, and molecular similarity—supported by open databases and computational tools. With growth in immunotherapy and vaccine R&D, professionals who can integrate biological and chemical data are in high demand. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Immuno-chemoinformatics combines immunology + bioinformatics + chemoinformatics to accelerate the discovery of immune-targeted therapeutics such as vaccines, antibodies, immune modulators, and small molecules acting on immune pathways. Modern discovery increasingly relies on data-driven approaches—epitope prediction, antigen characterization, immunogenicity signals, toxicity screening, and molecular similarity—supported by open databases and computational tools. With growth in immunotherapy and vaccine R&D, professionals who can integrate biological and chemical data are in high demand.
📋 Course Objectives
1. Master the fundamentals of immune modulators.
2. Apply biotechnology methods to authentic research and industry problems.
3. Assemble a documented case study that evidences your applied capability.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
• Data and computational scientists moving into immune modulators
🚀 Key Learning Outcomes
• Confidence to apply immune modulators in real projects.
• Tangible, reproducible biotechnology work to show supervisors or employers.
• 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 recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Working with Biological Sequence Data
• BioPython SeqIO and Entrez for programmatic retrieval from NCBI and UniProt
• Alignment handling and the parsing errors that silently corrupt downstream analysis
• Reproducible environments and scripted pipelines instead of manual web-tool clicking
Characterising the Immune Target
• Antigen selection, conservation analysis and surface accessibility
• MHC class I and II presentation pathways and the constraints on epitopes
• HLA polymorphism and population coverage as a hard design requirement
Prediction and Its Limits
• IEDB tools and NetMHCpan-class predictors, with their training-data bias
• Immunogenicity versus binding affinity — predicted binders often do nothing
• B-cell and conformational epitope prediction and its notably poorer accuracy
Chemoinformatics for Immune Modulators
• RDKit for descriptors, fingerprints and similarity searching
• Similarity-based scaffold hopping and the activity cliffs that defeat it
• Toxicity and off-target screening before a compound is taken further
Building a Combined Workflow
• Linking epitope output to chemical screening in one scripted pipeline
• Autoimmunity screening against the human proteome as a safety gate
• A small end-to-end project written up so a reviewer can rerun it
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | AutoDock Vina |
| Covered Tool / Platform | PyRx |
| Covered Tool / Platform | Schrödinger Suite |
| Covered Tool / Platform | GROMACS |
| Covered Tool / Platform | ChemDraw |
| Covered Tool / Platform | Discovery Studio |
| Covered Tool / Platform | ADMET Predictor |
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