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NPTEL

BioInformatics: Algorithms and Applications

NPTEL and Indian Institute of Technology Madras via YouTube

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

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