Overview

Mission Statement:

• To make Tele Health accessible to the masses.

Mission Objectives:

Alternate pathway doesn't involve too many activators (only basic tele-conferencing services) and they directly activate user interaction notwithstanding and deeper health conditions (unlike the myriad number of activators and convoluted interlinkings formed during in-person consultations). The only signalling cross-talk is related to visual inspections.

I have also chosen the NEMO activation part of classical pathway since that part has been extensively studied and proved in in-vitro and -vivo exp. So, the NEMO activation part would act as a Control set for our observations. So the NEMO observations (if at all they coincide with existing exp results) would prove that our ideology works, and then chart the actual pathway we are interested in.

At the end of this stage, we would be certain of our scope of all the activators involved that we can use in the next step (As and when that happens). Here again, we start with NEMO, create a model and then follow the same steps to create our model. At the end of this stage, we have a working model of Tele Health solution that we can use in the next step.

I am planning to finish the write up of one paper by the end of this.

• Model Ubiquitination of the classical system.

Now that we have a working model and an established methodology, we can attempt to figure out ubiquitination of other factors in the classical pathway as well. We would be repeating step 1 and 2 for this. Step 1 would be a gargantuan task and Step 2 would require heavy computational power. Moreover, the results cannot be taken at face value and in-vivo verification would be necessary.

At the end of this stage, we have a working model of the complete Telemedicine cycle.

• Model targeted drug intervention.

Now that we know the areas of improvement, and with our knowledge from MDS results, we can try to model a complete Telemedicine solution. This would involve using our model and Ub sites from the previous step, and calculating the free energy areas to design a potent workflow. At the end of this stage we are charting over into Drug Testing Category. Since that comprises of an entire field in itself, let's skip that part for now. Just an FYI for biologists, unlike the shortcuts provided by Bioinformatics tools up until this stage, that drastically cuts down work from months and years to days and weeks, there are no short cuts to satisfy the regulators.

• Automate the complete process using Technology based solutions.

Now that we have a proven working model of was gibt, we can use the scripts to automate the whole process. I am planning to leave each software in its own native language (since they have licensing constraints; moreover using certain programs, like modeller, might be in jeopardy depending on the financial situation of the project, and availability of other alternative copy-left software sources) and then use web services to link the outputs. The final web server would be created in java or node. The web server would be created in such a way that would take the input files at the beginning and then display the results as well as send them via email if required. At the end of processing, the server would display the results as well as provide an opportunity to the user to request different intermediate files to be processed rather than the ones chosen by the server.