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As you've mentioned, produce a functionality that will take 3 arguments. For each argument, research the related checklist/dictionary and produce a record for every argument. Then make use of the listing system .intersection() to pull out the matching reaction.
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But fortunatelly we needn't do this as python has a knowledge framework named dictionaries, which makes it possible for us to depict graphs fairly conveniently and not using a number of hussle and which are very easy to iterate via.
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Consider sbml and any flux primarily based Assessment tools, they must have some identical code to accomplish what you want (or close to it)
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So let's suppose the primary entry is substrateA and the 2nd is substrateB. So now we just really need to search for in the main line of our dictionary what enzyme can make our substrateA to substrateB (we see: ['SubstrateB', 'EnzymeA2B']). Now we start out developing our string that contains SubstrateA + EnzymeA2B =. We repeat this for each of the entries-1 of redirected here our pathwayarray. Last but not least we return our response. But see for yourself, just Do that:
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We can also do conditional operations on our variables. Note that the indentation is accustomed to independent code blocks, and until we de-indent our method, we go on to operate In the ‘if’ block.
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