Understanding cell signaling, where several thousands of molecular players are interacting with each other, making the dimensionality of problem quite high, can lead to rapid drug discovery. Most understanding of signaling is currently limited to focussing on how one molecule promotes or inhibits another molecule, while ignoring the the rest of the cellular network. This approach of studying one by one, one to one interaction has been hindering disease biology significantly. Now several tools allow network understanding by plugging in existing public data base of signaling classical one to one interaction studies. We are working with such problems, including first focussing on finding possible activators of neurofibramatosis 1 (NF1) a common cause of tumors and autism when less active, where we are trying to use data analysis to predict various signaling molecules that can be used to promote its activity to normal levels. I am actively looking for collaborators who have interest in cellular signaling, know the use of cytoscape or gephi, python, and few basic clustering techniques. Pleas feel free to provide your feedback and pointers so we can push the envelope of using data analysis to hasten the progress of medical biology.
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