Immuno-Informatics |
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Course Description | This course explores computational immunology, focusing on reverse vaccinology and computational vaccine design. It covers key immunoinformatic tools for vaccine pipelines, beginning with antigenic protein sequence retrieval, functional analysis of antigenic properties, structural feature prediction, and epitope analysis. The course concludes with antigen-antibody structure modeling and docking studies to assess molecular interactions. |
Recommended Books | 1. Immunoinformatics, C. Schönbach, S. Ranganathan, V. Brusic (Eds.). 2. Immunoinformatics: Bioinformatic Strategies for Immune Function, G. R. Bock, J. A. Goode (Eds.). |
Course Learning Outcomes | After completing this course, students will: 1. Be equipped to predict pathological mechanisms and immune responses. 2. Gain skills to collaborate with clinicians on immunological problem-solving. 3. Apply computational tools to model antigen-antibody interactions and epitope predictions. |
Assessment System | Quizzes: 10-15% Assignments: 5-10% Midterms: 30-40% ESE: 40-50% |
Lecture Plan | ||
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S.No. | Description | Quizzes/Assignment |
1 | Introduction to Immunology | |
2 | Introduction to Vaccine Design and Reverse Vaccinology | |
3 | Primary Protein Structure Prediction of Antigenic Proteins | Quiz 1 |
4 | Prediction of Allergic Nature of Antigenic Proteins | |
5 | Prediction of Physicochemical Properties of Antigenic Proteins | |
6 | Prediction of Antigenicity of Antigenic Proteins | Assignment 1 |
7 | Prediction of Secondary Structure of Antigenic Proteins | |
8 | Prediction of Domains and Important Sites in Antigenic Proteins | |
9 | Continuous B-cell Epitope Prediction | Quiz 2 |
10 | Discontinuous B-cell Epitope Prediction | |
11 | Prediction of Immunogenic Regions in Antigenic Proteins | |
12 | Prediction of Glycoprotein Antigen Epitopes | Assignment 2 |
13 | Cytotoxic T Cell Epitope Prediction | |
14 | MHC Class I and II Prediction | Quiz 3 |
15 | Automated Antigen Modeling | Assignment 3 |
16 | Alignment-Based Antigen Modeling |