BBI601

Immunoinformatics

L-T-P3-1-0 Credits4 Session2026-27 TypeTheory
Appears in 1 semester

B.Tech Bioinformatics · Sem 6 (Core)

Syllabus

5 units · 40 lecture hours
Unit1

Unit 1: SEQUENCE ANALYSIS

8 hrs

Alignments- DNA alignments- Molecular evolution and phylogeny- viral evolution and escape- prediction of functions.

Unit2

Unit 2: METHODS

8 hrs

Methods applied in Immunological Bioinformatics starting from sequence weighing methods to cluster analysis- Gibbs Sampling- HMM- Neural network- microarray and its applications.

Unit3

Unit 3: MHC-I PREDICTION

8 hrs

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

Unit4

Unit 4: MHC-II PREDICTION

8 hrs

Prediction of Helper T Cell (MHC Class II) Epitopes- Processing of MHC Class II Epitopes.

Unit5

Unit 5: B CELL EPITOPE PREDICTION AND WEB SOURCES

8 hrs

Recognition of Antigen by B Cells- vaccine design- Web-Based Tools for Vaccine Design.

Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Understand sequence analysis methods including DNA alignments, molecular evolution, viral evolution, and prediction of functions.K2
  2. CO2Apply computational methods in immunological bioinformatics (sequence weighting, clustering, Gibbs Sampling, HMM, neural networks, microarray applications).K3
  3. CO3Apply prediction methods for cytotoxic T cell (MHC Class I) epitopes and explain antigen processing pathways.K3
  4. CO4Apply prediction methods for helper T cell (MHC Class II) epitopes and describe their processing mechanisms.K3
  5. CO5Apply B cell epitope prediction approaches and web-based tools for vaccine design.K3

TEXT BOOKS

  1. / REFERENCES
  2. Rammensee, “Immunoinformatics- Bioinformatics Strategies for Better Understanding of Immune Function”, Wiley, 2003.
  3. Ole Lund, “Immunological Bioinformatics”, MIT Press, September 2005.
  4. Darren Flower, “In Silico Immunology”, Springer, 2006. Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh
  5. Darren R Flower, “Immunoinformatics: Predicting Immunogenicity in Silico”, Humana Press, 2007. Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh

Official AKTU syllabus

This subject is on page 29, 30, 31 of the original AKTU PDF.

Official AKTU syllabus PDF ↗