Bioinformatics is an interdisciplinary field of science for analyzing and interpreting vast biological data using computational techniques. In this course, we aim to give a walkthrough of the major aspects of bioinformatics such as the development of databases, computationally derived hypothesis, algorithms, and computer-aided drug design. During the first section of the course, we will focus on DNA and protein sequence databases and analysis, secondary structures and 3D structural analysis. The second section will be devoted to applications such as prediction of protein structure, folding rates, stability upon mutation, and intermolecular interactions. Further, we will cover computer-aided drug design using docking and QSAR studies. This course is designed to nurture skills and knowledge required for aspiring students, young biologists and research scholars to develop algorithms and tools in bioinformatics.
Bioinformatics- Algorithms and Applications
NPTEL and Indian Institute of Technology Madras via YouTube
Overview
Syllabus
Concepts and importance of Bioinformatics.
Complexities in biological systems.
DNA sequence analysis.
Sequence based parameters.
Database.
Database categories.
Protein structure and function.
Protein structure and function II.
Protein sequence databases.
Protein sequence databases II.
Pairwise alignment.
Pairwise alignment II.
Uniprot_Demo.
Sequence alignment.
Sequence alignment II.
Sequence alignment: Online resources.
Sequence alignment: Online resources II.
Conservation score.
Conservation score II.
Blast - Demo.
Phylogenetic trees.
Phylogenetic trees II.
Protein sequence analysis.
Protein sequence analysis II.
Hydrophobicity profiles.
Patterns and PSSM profiles.
Construction of Non-redundant datasets I.
Non-redundant datasets II.
Protein secondary structure.
Secondary structure prediction I.
Secondary structure prediction II.
Secondary structure prediction III.
Protein tertiary structure - I.
Protein tertiary structure - II.
Protein structure analysis - I.
Protein structure analysis - II.
Protein structure analysis - III.
Demo: PDB or Pymol or PDBParam.
Demo: Homology Modelling.
Protein structure analysis - IV.
Protein structure prediction - I.
Protein structure prediction - II.
Protein stability - I.
Protein stability - II.
Stabilizing residues.
Thermodynamic database.
Stability of proteins upon mutations - I.
Stability of proteins upon mutations - II.
Demo: ProTherm.
Protein folding rate - I.
Protein folding rate - II.
Protein interactions - I.
Protein interactions - II.
Computer aided drug design - I.
Computer aided drug design - II.
Virtual screening - I.
Virtual screening - II.
QSAR - I.
QSAR - II.
Demo: Autodock.
awk programming - I.
awk programming - II.
Development of algorithms - I.
Development of algorithms - II.
Applications of bioinformatics - I.
Applications of bioinformatics - II.
Overview - I.
Overview - II.
Demo: Weka.
Taught by
Bio-Informatics - IITM
