MTech Immunoinformatics syllabus for 2 Sem 2020 scheme 20BBI243

Module-1 Immunoglobulins 0 hours

Immunoglobulins:

Structure and function-- Monoclonal antibodies. B Cell generation and differentiation: BCR--Antibody diversity: Genetic basis—T- dependent activation of B cells-Blymphocyte signal transduction. Cytokines. Complement system. Antigen- antibody interaction: antibody affinity and activity- Isolation of lymphoid cells from blood and lymphoid organs-- precipitation reaction, agglutination reaction --Radioimmunoassay, ELISA, Western Blot, Immunoprecipitation, Immun-fluoresence, flow cytometry. Cell cultures and Experimental animal models. Analysis of gene expressions.

Module-2 SEQUENCE ANALYSIS 0 hours

SEQUENCE ANALYSIS:

Alignments- DNA alignments- Molecular evolution and phylogenyviral evolution and escape- prediction of functions. Methods applied in Immunological Bioinformatics- starting from sequence weighing methods to cluster analysis- Gibbs SamplingHMM- Neural network- microarray and its applications.

A d v e r t i s e m e n t
Module-3 MHC- I PREDICTION 0 hours

MHC- I PREDICTION:

Prediction of Cytotoxic T Cell (MHC Class I) Epitopes- Antigen Processing in the MHC Class I Pathway. MHC-II PREDICTION: Prediction of Helper T Cell (MHC Class II) Epitopes- Processing of MHC Class II Epitopes

Module-4 B CELL EPITOPE PREDICTION AND WEB SOURCES 0 hours

B CELL EPITOPE PREDICTION AND WEB SOURCES:

Recognition of Antigen by B Cellsvaccine design - Web-Based Tools for Vaccine Design. The IMGT® Immunoinformatics page. Databases associated with Immunoglobulins (or Antibodies) (IG), T cell receptors (TR), Major histocompatibility (MH), Antigens, Allergens, Peptides binding to MH etc.

Module-5 Hybridoma technology for mass production 0 hours

Hybridoma technology for mass production.

Chimeric antibodies, antibody engineering via computational tools, large scale manufacture of antibodies. Vaccine development and Immunoinformatics: Recombinant vaccines, combined vaccines, polyvalent vaccines. Immunoinformatics, databases in immunology, DNA, Plant and protein based recombinant antigens as vaccines.

 

Course outcomes:

At the end of the course the student will be able to:

  • Understand the computational aspects of immunology
  • Tools and databases related to immunoinformatics studies

 

Question paper pattern:

The SEE question paper will be set for 100 marks and the marks scored will be proportionately reduced to 60.

  • The question paper will have ten full questions carrying equal marks.
  • Each full question is for 20 marks.
  • There will be two full questions (with a maximum of four sub questions) from each module.
  • Each full question will have sub question covering all the topics under a module.
  • The students will have to answer five full questions, selecting one full question from each module.

 

Textbook/ Textbooks

1 ―Immunological Bioinformatics‖ Ole Lund Darren Flower, MIT press, Springer September 2005, 2006.

2 ―Immunoinformatics: Predicting Immunogenicity in Silico‖ Darren R Flower Humana Press 2007

 

Reference Books

1 ―ImmunoinformaticsBioinformatics Strategies for Better Understanding of Immune Function‖ Rammensee Wiley 2003

2 Computational Immunology: Basics ShyamasreeGhosh CRC Press 2020

3 Kuby Immunology Thomas J. Kindt , Richard A. Goldsby, Barbara A borne W. H. Freeman & Company 2006

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