Bioinformatics uses databases and computers to answer biological questions through activities like annotating biological data and manipulating information. It involves fields like molecular biology, genomics, systems biology, and more. The history of bioinformatics began in the pre-1970s with early sequence alignment algorithms and studies on protein structure and evolution. It expanded in the 1970s and 1980s with more advanced algorithms and resources for tasks like sequence analysis, molecular databases, and protein structure prediction. The course will cover topics like biological databases, nucleotide sequence analysis, statistical methods, protein structure modeling, and applications like genomics, proteomics, and drug design.

1. What is Bioinformatics?
Use of databases and computers to ask
and answer biological questions

2. What is Bioinformatics?
Major activities are,
1.Annotation of biological information
2.Transformation and Manipulation of
data

3. Areas
- Molecular biology
- Genomics
- Systems biology
- Protein design and engineering
- Pharmaceutical development
- Medicine
- Ecology/ Population genetics

4. History
The pre-70’s
-The first sequence alignment algorithms
-Preferential substitution of amino acids in protein
sequences
-Studies on protein primary structure
-Use of mol bio data in evolutionary studies
-Theory of evolution by gene duplication
-Central dogma

5. History
The 70’s
-Studies of substitution mutation rates
-Calculation of solvent accessibility on protein
structures
-Parsimonial determination of tree topology
-RNA structure prediction
-Sequence alignment methods

6. History
The 80’s
More algorithms and resources
1.Sequence analysis
2.Molecular databases
3.Protein structure prediction
4.Molecular evolution

7. Twenty publications that
influenced present view

8. Applications
Genomics
Proteomics
Cheminformatics and Drug design
Molecular phylogenetics
Drug modification

9. What we are going to study?

10. Unit I
Introduction to bioinformatics and
Biological databases

11. Unit II
Nucleotide sequence analysis and
RNA structures

12. Unit III
Statistical methods in
Bioinformatics

13. Unit IV
Structure and modeling of Proteins

14. Unit V
Bioinformatics applications and
drug modeling