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Biotechnology Institute

of Galaxy Educare Concepts

We are Offering Special Training/Projects of Biotechnology & Bioinformatics for Rs. 5000/- Only.
 
 

 

 
 



         What is Bioinformatics:

Bioinformatics is the application of computer technology to the management of biological information which deals with the study of methods for storing, retrieving and analyzing biological data such as nucleic acid (DNA/RNA) and protein sequence, structure, function, pathways and genetic interactions. It generates new knowledge that is useful in such fields as drug design and development of new software tools to create that knowledge. Bioinformatics also deals with algorithms, databases and information systems, web technologies, information and computation theory, structural biology, software engineering, data mining, image processing, modeling and simulation, discrete mathematics, control and system theory, circuit theory, and statistics.

Real world Applications of Bioinformatics:

1.    Molecular medicine

a)    More drug targets

b)    Personalised medicine

c)    Preventative medicine

d)    Gene therapy

2.    Microbial genome applications

e)    Waste cleanup

f)     Climate change

g)    Alternative energy sources

h)   Biotechnology

i)     Antibiotic resistance

j)      Forensic analysis of microbes

k)    The reality of bioweapon creation

l)     Evolutionary studies

3.    Agriculture

m)  Crops

n)   Insect resistance

o)    Improve nutritional quality

p)    Grow in poorer soils and drought resistant

4.    Animals

5.    Comparative studies

Future of Bioinformatics:

The global Bioinformatics industry has grown at a double-digit growth rate in the past. US remains the largest market in the world, but Asia-Pacific countries, particularly India and China, are witnessing the fastest growth and are anticipated to emerge as the dominating forces in future. 

Bioinformatics is full of opportunities. The sector is poised to open new avenues for the other related sectors also. But the biggest opportunity area in the Bioinformatics market will be in the drug discovery sector. Reduction of both the cost and time taken to discover a new drug due to fast development in the Bioinformatics tools and software zone is also making drug discovery an attractive field to venture in.

Some important major Key Findings in Bioinformatics:
a.  Genomics occupies the largest share out of the various Bioinformatics application areas, however, proteomics take the lead.
b. Phenomenal development in Information Technology (IT) and the Internet have fuelled the growth of the Bioinformatics industry.
c. By using computer-aided drug design, drug-designing companies can save over 30% in both the cost and time to discover a new drug.d. Patent protection and lack of standardization remain the biggest challenge for the Bioinformatics industry.

Bioinformatics R&D:

ðGene Identification:

§  The significance of Gene sequence

§  A comprehensive report containing

ü Gene functionality across species                                                      

ü Open reading frame

ü Sequence of the proteins coded by the gene

    

 

ðGene Analysis:

ü For preventive drug discovery

ü To study and compare the expression of genes under normal and diseased conditions

ü For creating customized treatments

 

 

ðProteomics:

Protein Structure Prediction:

§  Input gene/ protein sequence report containing

ü Modeled structures

ü Proof to support the validity of the structure

ü Structures of homologous proteins

ü Predicted function of the protein

 

 

    Sequence Analysis:

ü Domain analysis

ü Motif analysis

ü Active site predictions

 

 

                                                

 

 

 

ðDrug Designing and Development:

ü Structure- aided drug discovery

ü SNP Analysis

ü in-silico lead generation

ü Library of lead molecules from natural sources

 

 

ð Study of Insilico Molecular Interaction:

ü Study of Protein-Protein interactions

ü Study of Protein-Nucleic acids interactions

ü Energy calculations in a molecular interaction

ü Functional group additions to macromolecules prediction

 

 

 

ð Next Generation Sequencing:

ü For preventive drug discovery

ü To study and compare the expression of genes under normal and diseased conditions

ü For creating customized treatments

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 




 
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