The presentation discusses the rapidly evolving fields of computational biology and bioinformatics, emphasizing their reliance on data generated by genomics and proteomics technologies. It highlights the role of bioinformatics in interpreting biological data through computational methods, with applications in preventative medicine, gene therapy, and drug development. The document outlines the potential for improved disease understanding to lead to more targeted and effective therapeutic approaches.

1. Welcome to My Presentation
Computational Biology and Bioinformatics
Presented by
Sharif Tanvir

2. Computational Biology and Bioinformatics
Computational Biology and Bioinformatics is a
rapidly developing multi-disciplinary field. The
systematic achievement of data made possible
by genomics and proteomics technologies has
created a tremendous gap between available
data and their biological interpretation.

3. Bioinformatics
Bioinformatics involves the addition of
computers, software tools, and databases
in an effort to address biological questions.
Bioinformatics approaches are often used
for major initiatives that generate large
data sets.

4. Computational Biology
Computational Biology, sometimes referred to as
bioinformatics, is the science of using biological data
to develop algorithms and relations among various
biological systems. Prior to the advent of
computational biology, biologists were unable to have
access to large amounts of data. Researchers were able
to develop analytical methods for interpreting
biological information, but were unable to share them
quickly among colleagues.

5. Approaches
Common activities in bioinformatics
include mapping and analyzing DNA and
protein sequences, aligning different DNA
and protein sequences to compare them,
and creating and viewing 3-D models of
protein structures. There are two
fundamental ways of modelling a
Biological system (e.g., living cell) both
coming under Bioinformatic approaches.

6. Applications
Preventative medicine
With the specific details of the genetic
mechanisms of diseases being worn,
the development of diagnostic tests
to measure a person’s susceptibility
to different diseases may become a
distinct reality.

7. Applications
Gene therapy
In the not too distant future, the potential for using
genes themselves to treat disease may become a
reality.
Drug development
At present all drugs on the market target only
about 500 proteins. With an improved
understanding of disease mechanisms and using
computational tools to identify and validate new
drug targets, more specific medicines that act on
the cause, not merely the symptoms, of the
disease can be developed.

8. Applications
Gene therapy
In the not too distant future, the potential for using
genes themselves to treat disease may become a
reality.
Drug development
At present all drugs on the market target only
about 500 proteins. With an improved
understanding of disease mechanisms and using
computational tools to identify and validate new
drug targets, more specific medicines that act on
the cause, not merely the symptoms, of the
disease can be developed.