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The last decade has witnessed an exponential growth of sequence information in the field of biological macromolecules such as proteins and nucleic acids and their interactions with other molecules. Computational analyses for structure-function predictions based on such information are increasingly becoming an essential and integral part of modern biology. With rapid advances in the area, there is a growing need to develop efficient versatile bioinformatics software packages, which are hypothesis driven. Gene to Drug is an attempt in this pursuit and an integration of heterologous applications of different technologies developed in-house and their translation into in silico products that cater to a majority of bioinformatics applications.
Our efforts at SCFBio is to explore the science behind Gene to Drug and how grid services and high performance computing platforms can be harnessed to bridge the gap between biomolecular sequence.
To know more about Gene To Drug refer :
B. Jayaram, Priyanka Dhingra, Goutam Mukherjee, Vivekanandan Perumal, "Genomes to Hits: The Emerging Assembly LineIn Silico", Proceedings of the Ranbaxy Science Foundation 17th Annual Symposium on "New Frontiers in Drug Design, Discovery and Development" 2012, Chapter 3, 13-35.
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Shenoy, S.R., Jayaram, B. et al. "From Gene to Drug: A Proof of Concept for a Plausible Computational Pathway". 6th International Conference on Intelligent Systems Design and Applications, Jinan, China, Oct. 16-18, 2006. Proceedings, IEEE Computer Society [In Press], 2006, pp. 1147-1152.
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Anjali Soni, Khushhali Menaria, Pratima Ray and B. Jayaram, "Genomes to Hits in Silico - A Country Path Today, A Highway Tomorrow: A Case Study of Chikungunya", Curr. Pharma. Des., 2013, 19, 4687-4700 http://www.eurekaselect.com/111973/article Read Article
