Rosetta algorithm and 3d modelling
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The document discusses the integration of cloud computing and chemistry through a 3D modeling approach using the Rosetta algorithm, which facilitates the visualization of chemical compounds and the arrangement of molecules. It highlights the potential to predict over 2.3 billion protein models while noting that only 255 have been validated, proposing future enhancements for faster chemical reactivity predictions across age demographics. The author expresses a personal interest in utilizing this methodology to develop new drugs for previously incurable diseases while contributing to societal health.
Rosetta algorithm and 3d modelling
- 1. Cloud Chemicals Name: Shanthi Mathi. R E-mail: shanthimathiraj@gmail.com Twitter Id: @shanthi_nila University: Pondicherry University Year/Semester: III/VI Branch: Information Technology
- 2. Introduction There are various ways to study about the medicine and chemicals in it. But here it is a excellent way to learn it in the form of 3Dimensional view. This can be achieved by combining the two relative domains namely, Cloud Computing and Chemistry. It applies the Rosetta algorithm, which gives the protein modeling using Cloud Computing.
- 3. Introduction(Contd..) The major importance of this modelling of chemicals helps us to identify the arrangement of molecules in the chemical compound. By this method, it has been predicted that more than 2.3 billion protein models can be found. But yet, only 255 models had only been given with the original pattern. This can be improved by giving some changes in the Rosetta model.
- 4. Trends The major trend used in this modeling is Cloud Computing technology. Since it is the emerging domain in Information Technology, it paves way for the medical practitioners. To get a wide knowledge in all the medicines and their structure, the Rosetta algorithm for modeling is applied. If the person needs to access the medicine it lists out the chemicals present in it, followed by the 3Dimensional model of how the molecules are arranged in it.
- 5. Trends(Contd..) The future enhancement in this method is to give the fast chemical reactivity prediction of any desired compound. By this how much amount of chemical is to be given in terms of age ranges in human beings can be specified. This helps us to find how much the chemical is reactive in case of children to adult etc., and it is given in terms of milligrams.
- 6. Interest Areas The interesting fact about this concept in my point of view is various patterns of medicine can be found using the 3Dimensional model . It also interests me to find a new drug pattern such that it can cure a incurable disease. If selected for an intern, I would like to work on this Cloud Computing and Chemistry domain to generate a new drug and serve the society.
- 7. Thank you