IMO you have two options, research an existing curated database (eg KEGG pathway database or biocyc) or have an inventory/dictionary which you search via.
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What exactly's the solution? Let us do what we usually do, consider this issue in an abstract way. On paper we By natural means would attract pathways as graphs where the nodes are substrates/merchandise and the perimeters are definitely the enzymes. Fortunatelly there is a whole subfield of arithmetic that promotions with graphs, namely graph theory. At present grahs have become a extremely seriously critical mathematic industry as graphs are used in every single place in IT, Biology, Chemistry, Physics.
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Edit: some typos(sorry It is 2am and I am tired=) ) Ok I gave up on getting all intending to sleep now. Tomorrow I am planning to extend on this and we are going to Consider How to define all attainable pathways amongst A and C.
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Our acquiring operate is not superior at that(still) =) Oh and you might like to lookup the way to crank out dictionaires dynamically, so that you can produce a function to build your graph.
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