4. What is molecular medicine
A branch of medicine that develops ways to
diagnose and treat disease by understanding
the way genes, proteins, and other cellular
molecules work.
5. Relation
Bioinformatics and medicine will meet mainly in two ways:
First , Not only can bioinformatics be used to explain
experimental results, but when used properly, bioinformatics
can also generate ideas for new experiments to answer old
questions, or stronger even, bioinformatics can raise new
questions.
6. Secondly ,
Computers will take over in all corners of
the world.it is clear that a minimal amount of
knowledge is an essential ingredient of the study of
every student in the faculty of medical sciences.
Bioinformatics will provide just the education of
essential skills for essential purpose in the field of
medical.
7. Purposes of bioinformatics tools
1.Protein sequence can be determined by DNA.
2.If protein sequence can be determined then
knowledge of protein sequence is required.
3.A protein structure enables the determination of
protein function.
8. Importance of bioinformatics in
this field
For storing huge amount of
data.
For analysis the collected data.
The whole work of DNA
sequencing , observation done
automatically by computer easily.
9.
10. Key Highlights for research
Cloud computing application.
Data analysis and interpretation.
Molecular docking and protein modeling for drug
discovery.
Big data for large data storage.
Data mining and RNA-seq analysis.
11. Software
The simulation software package
Molden (MOLecular
DENsity), which is developed by
G.Schaftenaar. This simulation
software is used in hundreds
of laboratories in countries on all
continents.
12. Application
1.First of all as a data base.
2.Improve the biological research.
3.To improve the clinical medicine.
4.As a essential tool for genetic observation.
5.For human DNA sequence mapping.
15. Role of Bangladesh
The aim of the department is to train
a new generation of pharmacists and
students from other disciplines in the
proper blending of computer
technologies to newer drug
discoveries and seek cause-effect
relationships between disease and
polymorphisms.