Abstract
How Inexact Models Can Guide Decision Making in Quantitative Systems Pharmacology
Highlights
If I effect this part of the biological pathways, how will it induce toxicity? Will it be effective?
I have been pulling in a lot of technical collegues to help with the development of generation Quantitiative Systems Pharmacology (QSP) tooling
Without a background in biological modeling, I found it difficult to explain the "how" and "why" of pharmacological modeling. Why is it differential equations, and where do these "massively expensive global optimization" runs come from? What kinds of problems can you solve with such models when you know that they are only approximate?
Summary
How Inexact Models Can Guide Decision Making in Quantitative Systems Pharmacology End u0 = [1.0;1.0] tspan = (0.0,10.0) p = [1.5,1.0,3.0,1.0] prob = ODEProblem(f,u0,tspan,p) sol = solve(prob,Tsit5()) plot(sol,label=["Rabbits" "Wolves"]) To make that plot I chose a value for that growth rate (1.5), but in reality we need to get that from data since the results can be wildly different: RACKAUCKAS The Winnower MARCH 24 2020
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