As a starting point just look for correlations among the parameters. Often you get strong correlations for things like the Vmax and Km in a Michaelis-Menten relationship. If the system never saturates then it is really first order with rate constant k=Vmax/Km, but Vmax and Km can vary widely, as long as the ratio is constant. So you will get multiple sets of Vmax, Km but the ratio is constant. (That tells you to just replace the MM with first order).
Also, for a sequence of reactions that are undetermined you will sometimes get a rate limiting step moving up and down the chain of reactions. For example, A->B->C, if little is known about B then often a fast first and slow second step is the same as reversing the speeds. This too will often show up as correlations.
Another thing to consider is the sensitivity of the output to your parameters at the solution sets. Does the output change if you change the individual parameters? This can be tricky to measure since if you really have optimized a parameter then the sensitivity at the optimal value of the parameter may well be zero. So, you’ll want to take big sensitivity steps, perhaps as much as 50%. (Compared to the often suggested steps of less than 1%)
I hope that helps a bit.
Jim
--
You received this message because you are subscribed to the Google Groups "COPASI User Forum" group.
To unsubscribe from this group and stop receiving emails from it, send an email to
copasi-user-fo...@googlegroups.com.
To view this discussion on the web visit
https://groups.google.com/d/msgid/copasi-user-forum/e91898e1-9ade-4050-8b6a-56227a3f55d0n%40googlegroups.com.