結果:
Hi! I'm new to pk modeling and Matlab. Can someone guide me through how to conduct population pk modeling based on pk parameters from non-human primate studies? Much thanks!!!!
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You reached this milestone by providing valuable contribution to the community since you started answering questions in Since September 2018.
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The title is resonably non-descript, but I can explain it easily:
Say I have an initial Emax model:
v = emax1*[G]^n1/(ec501^n1+[G]^n1)
And I want to place v inside of a second Emax model:
y = emax2*v^n2/(ex502^n2+v^n2)
Currently, I have the full function of v inside y, twice, it's very long and whilst I only need to get it correct once, for readability in the future I'd rather have it in form #2. I've played around with non-constant parameters but I need the steady state to be v, not the rate rule, and I haven't worked out how to make a parameter shift to a form like v, as an observation might.
Are there any recommended solutions or do I simply need to keep with having v fully expressed in y?
Thank you,
Dan
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Hi All,
I'm currently attempting to implement a Hodgkin-Huxley-type model of membrane potential, ideally I would like a species that represents the membrane potential as its own distinct entity, so as the reference elsewhere. I've currently established a molarity-based work around but it would be great if I could set the units for the species as millivolt, but that throws an error.
Is there an established way to do this? I imagine I'm not the first person to be trying to model a voltage-gated ion channel!
Thank you for your help.
Share your fun photos in the comments!
Hello,
I've looked around and I haven't found anything obvious about this, but is it possible to link to species/reactions, graphically, in a non-mass transfer sense? I have areas in my model where it would conceptually make sense to be able to see that species or reactions are linked, but if I link them in the standard way it demands that it be involved in the stoichiometry.
Perhaps some kind of dotted line, or similar?
Thank you, best regards,
Dan
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