Certificate Course in Bioinformatics & in silico Drug Discovery

Course Contents:

  • Basic Biology for Computer Science students and Working in a UNIX operating system for other students
  • Introduction to biological databases and information retrieval from biological databases
  • Assessing pairwise sequence similarity and multiple sequence alignment (Local and Global)
  • DNA and protein sequence analysis
  • Phylogenetic analysis
  • Importance of Bayesian statistics in biology
  • Microarray data analysis to assay gene expression: Introduction to statistical package ‘R’ and facilities in Bioconductor
  • Using PERL to facilitate biological analysis
  • Proteins/enzymes and nucleic acids as drug targets, protein-protein interactions
  • Protein structure modeling and its quality assessment
  • Overview of Quantitative Structure Activity Relationships (QSAR)
  • In-silico drug design, protein-drug docking
  • Role of enthalpy and entropy in binding and estimation of ligand-receptor binding
  • Pharmacogenomics: Concept of personalized medicine

The course includes an integrated Hands-on training which involves the application of the above aspects.

Hands-on Sessions:

  1. Working in a UNIX operating system
  2. Sequence alignment (Pairwise and Multiple)
  3. Gene prediction softwares (GeneScan, GLIMMER)
  4. Building a phylogenetic tree: phylogenetic analysis (PHYLIP package)
  5. Microarray data analysis to assay gene expression (Introduction to statistical package ‘R’ and facilities in Bioconductor)
  6. Retrieval of protein sequence from PDB and its structure quality analysis
  7. Visualization tools (Rasmol, Pymol) to view the 3D structure of the molecule.
  8. 2D/3D molecule builder (ChemDraw, Accelrys Draw)
  9. From sequence to structure, modeling and validation
  10. Molecular Docking

Evaluation: Based on project evaluation at the end of the course and internal assessments. Successful candidates will be given a certificate.