informatics of immunity
DESCRIPTION
The immune system is one of the most complex systems consisting of more than a billion unique receptors on T-cells, B-cells and even other cell types. As such, our success in comprehending immunological reactions can greatly benefit from computer science. I made this presentation at the First Young Kenyan Scientists meeting in held at the Kenya Medical Research Institute (KEMRI) in Nairobi, Kenya.TRANSCRIPT
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Informatics of Immunity
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Immunity: Defense against Disease
A cancer cell under attack by T cells of the immune system
Cancer cell killed
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Immunology as a Convergence of Sciences
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From Genomics to Immunomics
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What does the Future Hold??
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Immune system is Complex and Diverse
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Different Tissues
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Different Cells, Defense Mechanisms
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Extensive Receptor Diversity
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Role of Informatics
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Key Questions in Vaccine Design
• Which immune response should the vaccine elicit?
- T-helper cell mediated immunity - Cytotoxic T cell mediated immunity - Humoral immune responses
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Prediction of B-cell Epitopes
• Recognized by antibodies• Linear B- cell Epitopes• Conformational B-cell Epitopes
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• Each stage in the antigen processing and presentation pathway occurs non-randomly
• T-cell epitopes are linear and short (8-11 amino acids for class I, slightly more for class II)
• Prediction of T-cell epitopes is easier than conformational B-cell epitopes
Prediction of T-cell Epitopes
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Prediction of MHC class I Epitopes
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In silico Vaccine Discovery• A wide range of software are available• How do you choose the best? - Prediction accuracy - HLA allele population coverage - Promiscous epitope prediction - T-cell epitope Hotspots - Conserved epitope prediction
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Databases
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Other Resources
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