Syllabus

Table of contents


Week-wise Teaching Plan 
WeekTopic(s)
Week 1History, importance & applications of computational biology & bioinformatics.
Week 2Biological data, importance of biological databases & their biological design basis, file formats & types (primary, secondary, sequence, structure & other), information retrieval from various biological databases, databases of nucleic acids sequence & structure, protein sequence & structure, chemical structures, biological networks & metabolic pathways, biomedical image databases.
Week 3Practical importance of biological databases in different segments of healthcare, pharmaceutical and biotech industries
Week 4Practical importance of aligning two or more than 2 genes/ genome sequences, Biological sequences alignment principles, its importance & applications, different alignment techniques (dot matrix, dynamic programming, heuristics), scoring matrices (BLOSUM & PAM), gaps, global versus local sequence
 alignment
Week 5Pairwise sequence alignment & its methods, tools of similarity searches (BLAST, PSI-BLAST), multiple sequence alignment (practical issues, methods & tools: Clustal Omega, TCoffee, MUSCLE)
Week 6Introduction, need for genome mining, applications including natural product biosynthesis. Case studies and future directions.
Week 7Introduction & importance, DNA structure prediction method, secondary structure of RNA, methods of RNA secondary structure prediction & tools.
Week 8Protein structural hierarchy, super secondary structures, structure determination, protein folding, sequence structure relation, methods of protein secondary structure prediction (ab initio modeling, threading, homology modeling), structure evaluation, protein structure visualization tools, structure function relation, protein function prediction, motifs & domains.
Week 9Introduction, importance & applications of patterns, motifs, and profiles, PROSITE, BLOCKS, PRINTS, Pfam. How to utilize RNA/Protein structures in drug designing and discovery with case studies of commercial importance.
Week 10Importance & applications, methods of phylogenetic analysis (distance & character based)
Week 11Phylogenetic tree construction & topologies, tools for tree visualization
Week 12Computer aided drug design and development, drug design approaches, ligand-based drug design, structure-based drug design
Week 13Chemical compound structure prediction, ADMET Prediction, computational vaccine design (antigen-antibody interactions)
Week 14Computer models of population dynamics, biochemical kinetics, cell pathways, etc. Morphological image analysis, image classification and image-derived models for use in clinical decision support systems
Lab Sessions 
WeekLab Session Topic
Week 1Introduction to Bioinformatics tools and databases (overview of the lab sessions for the course)
Week 2Exploration of biological data from multiple primary and secondary databases (e.g. NCBI databases, PDB)
Week 3Programmatic data retrieval from biological databases
Week 4Biomolecular network analysis (Cytoscape)
Week 5Pair-wise alignment tools (all variants of BLAST) with both GUI and command line access
Week 6Multiple Sequence alignment tools (CLUSTAL)
Week 7Tools to curate protein sequence datasets (removal of sequence redundancy)
Week 8DNA and RNA structure prediction tools
Week 9Lab exam -1
Week 10Protein structure prediction: Ab initio and threading
Week 11Protein structure prediction: Homology modeling
Week 12Phylogenetic analysis
Week 13Protein-protein docking methods
Week 14Lab exam - 2

Assessment:

  • Lab Minor 1: 20%
  • Lab Minor 2: 20%
  • Internal quizzes (2): 5%
  • Lab exams (2): 40%
  • End term exam: 40%