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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.

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Computational Biology and Bioinformatics

  1. 1. Welcome to My Presentation Computational Biology and Bioinformatics Presented by Sharif Tanvir
  2. 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. 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. 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. 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. 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. 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. 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.

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