Course Name: 

Computational Biology (IT435)


B.Tech (AI)


Programme Specific Electives (PSE)

Credits (L-T-P): 

(3-0-0) 3


Introduction to Bioinformatics, Biological Databanks,Biological Sequence Analysis: Genome-Microarray, pairwise sequence alignment, Dynamic programming, global and local alignment, Progressive multiple sequence alignment, Iterative multiple sequence alignment. BLAST Scoring matrices, gap penalty, statistical significance of multiple sequence alignment, sum-of-pairs method, CLUSTAL W, searching motifs in sequence alignment. Phylogentics – distance-based using UPGMA, Neighbour Joining. Protein Structure prediction – Secondary Structure prediction, Protein Secondry Structural Class prediction, Protein Fold recognition, Protein Tertiary Structure prediction. Protein-Protein Interaction, Protein Subcellular Localization, Emerging Areas in Bioinformatics.


Durbin, R., Eddy, S., Krough, A. & Mitchison, G. (1998). Biological sequence analysis: probabilistic models of proteins and nucleic acids. Cambridge University Press.
Jones, N.C. & Pevzner, P.A. (2004). An introduction to bioinformatics algorithms. MIT Press.
Bioinformatics: Sequence and Genome Analysis by David Mount, Cold Spring Harbor Laboratory Press (2001)
Biological Sequence Analysis: Probabilistic models of proteins and nucleic acids by R. Durbin, S.Eddy, A. Krogh and G. Mitchison, Cambridge University Press (1998)
Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications by Xiaohua Hu and Yi Pan, John Wiley & Sons (2007)
A Metaheuristic Approach to Protein Structure Prediction by Jana, Nanda Dulal, Das, Swagatam, Sil, Jaya, Springer (2018)


Information Technology

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National Institute of Technology Karnataka,
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