I have 6 unique pathogen proteins of interest which have unique pathway when compared to host. I want to simulate and quantify the effects of all of these in both presence and absence of them. Pathways of all of 6 proteins are available in KEGG db. what are the best systems biology approach that can help me to find the best target among these 6?
This is very interesting, but I'm not sure how you can attach them without a body of data. If the pathways of all 6 are in KEGG db, then there must be a designation of the metabolic effect(s). You are assuming that they may share some effects and not others. This creates a problem of feature extraction and combinatorial sets using the data. What you are indicating, I see as only a minimum frequency of expected combinations. I would like to see a large number of real "subjects". Now you can get an idea of the frequency of the subset-combinations. Having that data, you can carry out a simulation. Take a look at the most recent work by Jay Magidson on http://www.StatistoicalInnovations.com
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