In Silico Multi-Epitope Vaccine Design

This course immerses you in mastering end-to-end computational vaccinology, focusing on designing clinically relevant multi-epitope vaccines against lethal pathogens like Nipah virus and emerging pandemics. You’ll master immunoinformatics foundations: vaccine immunology, adaptive immunity mechanisms, epitope-paratope interactions, and cross-population MHC-driven immune responses mediated by HLA polymorphisms. Next, pathogen target screening teaches high-throughput surface protein selection, structure-based conservation analysis, human/microbiome homology validation via BLASTP, and regulatory-grade safety profiling (allergenicity/toxicity) using structural bioinformatics.

Epitope engineering covers advanced conformational B/T-cell prediction using IEDB, multi-parametric antigenicity/solubility filtering (VaxiJen/PepCalc), and precision vaccine construction with adjuvants (β-defensin) and protease-resistant linkers (AAY/EAAAK) maintaining structural integrity for cold-chain stability. Finally, structural vaccinology includes high-accuracy vaccine-TLR4 docking, molecular dynamics stability simulations (deformability/B-factor/eigenvalue analysis) under physiological conditions, and in silico immunogenicity profiling with C-ImmSim to quantify antibody isotype switching, affinity maturation, and T-cell clonal expansion.

The curriculum culminates with GMP-compliant translational bioinformatics: industry-standard codon optimization maximizing CAI, pET28a+ vector cloning, and SnapGene-based expression feasibility validation. All skills are applied through 12 hands-on modules to build a clinically viable Nipah virus vaccine—from target selection to wet-lab-ready constructs—equipping you to tackle COVID-19, influenza, Ebola, or novel pathogens. Graduate with certified, job-ready computational vaccinology expertise for high-impact biopharma or academic research careers in pandemic preparedness, empowering you to develop cost/time-efficient vaccines against antigenically variable pathogens.

What's inside

Learning objectives

Predict b/t-cell epitopes via iedb and validate safety/immunogenicity with vaxijen, allertop, and toxinpred.
Design multi-epitope vaccines using adjuvants (β-defensin), linkers (aay/eaaak), and epitope screening workflows.
Execute structural validation: dock vaccine-tlr4 complexes (hdock), run md simulations (imods), and interpret stability metrics (b-factor/deformability).

Simulate immune responses using c-immsim to quantify antibody kinetics (igm/igg), b/t-cell dynamics, and cytokine profiles.
Perform end-to-end in silico cloning: optimize codons (jcat), integrate into pet28a+ vectors, and validate with snapgene.

Predict b/t-cell epitopes via iedb and validate safety/immunogenicity with vaxijen, allertop, and toxinpred.
Design multi-epitope vaccines using adjuvants (β-defensin), linkers (aay/eaaak), and epitope screening workflows.
Execute structural validation: dock vaccine-tlr4 complexes (hdock), run md simulations (imods), and interpret stability metrics (b-factor/deformability).
Simulate immune responses using c-immsim to quantify antibody kinetics (igm/igg), b/t-cell dynamics, and cytokine profiles.
Perform end-to-end in silico cloning: optimize codons (jcat), integrate into pet28a+ vectors, and validate with snapgene.

Syllabus

Define multi-epitope vaccines, contrast traditional/modern platforms, explain epitope-paratope-MHC interactions, and justify in silico pipelines.

Master core vaccinology: Vaccine types (mRNA/live attenuated), multi-epitope advantages (broad MHC coverage, mutation resistance), epitope-paratope interactions, and computational pipeline necessity for accelerated design.

Master Nipah virus virology! Study viral proteins (F/G glycoproteins), zoonotic transmission (bat→pig→human), symptoms, and pandemic risks. Learn prevention protocols for this high-mortality pathogen with no existing treatments.

Master computational vaccinology tools! Retrieve pathogen proteins (NCBI), screen human/microbiome homology (BLASTP), predict B/T-cell epitopes (IEDB), and validate antigenicity/toxicity (VaxiJen/AllerTOP). Pipeline setup for vaccine construction.

Master computational antigen selection! Learn 6 criteria (surface accessibility, conservation, human/microbiome non-homology, non-allergenicity/toxicity) for Nipah G/N proteins. Execute NCBI retrieval, BLASTP homology checks, and AllerTOP/ToxinPred validation. Critical for immunoinformatics.

Master antigen processing & epitope prediction! Use IEDB to identify B/T-cell epitopes from pathogen proteins. Apply MHC binding affinity filters, immunogenicity thresholds, and safety validations. Essential for computational vaccinology pipelines.

Master computational epitope safety profiling! Validate antigenicity (VaxiJen), allergenicity (AllerTOP), toxicity (ToxinPred/NeuroSnap), and solubility (PepCalc) to select optimal epitopes for immunogenic, stable multi-epitope vaccines.

Master vaccine assembly: Combine filtered epitopes with adjuvants (β-defensin) and specialized linkers (AAY/GPGPG/EAAAK). Learn N-terminal adjuvant placement, structural avoidance of steric hindrance, and immune activation sequencing (MHC II→MHC I→B-cell).

Master end-to-end vaccine characterization! Predict immunogenicity (VaxiJen), safety (AllerTOP/ToxinPred), solubility (PepCalc), and 9+ physicochemical properties (pI, GRAVY, instability index) using ProtParam for stability and expressibility.

Master computational immunology validation! Dock β-defensin vaccine with TLR4 (HDOCK/PDBsum), refine structures (PyMOL), run MD simulations (iMODS), and analyze deformability/B-factor/eigenvalue plots for complex stability under biological conditions.

Master computational immunogenicity validation! Simulate vaccine responses using C-ImmSim: track antigen clearance, antibody production (IgM/IgG), B/T-cell populations, cytokine profiles, dendritic cell activation, and NK cell cytotoxicity. Essential for vaccinologists.

Master computational vaccine cloning! Optimize codons (JCAT), design SmaI restriction sites, integrate sequences into pET28a+ vectors, and simulate E. coli expression feasibility in SnapGene. Critical for recombinant vaccine production.

Recap the full computational vaccinology pipeline: Target protein selection (N protein), IEDB epitope prediction, safety/antigenicity screening, vaccine construction, TLR4 docking/MD simulation, C-ImmSim immune profiling, and SnapGene cloning. Master the workflow!

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