DAF-16/FOXO Shuttling: Stochastic Kinetics Model
A 2D stochastic chemical-kinetics model of the insulin/IGF-1 (IIS) pathway: each DAF-16/FOXO molecule is an independent three-state Markov chain (cytoplasmic-phosphorylated, cytoplasmic-dephosphorylated, nuclear) with real per-frame transition probabilities 1-exp(-rate*dt), diffusing by true Brownian motion inside a cell/nucleus compartment diagram, plotted live against the analytic mean-field steady state.
This is the 2D counterpart to the rotatable 3D cell: instead of animating particles toward a threshold-based target, every DAF-16/FOXO molecule here runs its own independent three-state continuous-time Markov chain — cytoplasmic-phosphorylated, cytoplasmic-dephosphorylated, and nuclear — with transition probabilities computed each frame from real rate constants using the standard 1 − e−rate·dt kinetic Monte Carlo formula, and diffuses by true Brownian motion inside a reflecting compartment diagram. A live strip chart plots the simulated ensemble-average nuclear fraction against the closed-form mean-field steady state derived from the same rate constants, and a Hill-function readout converts nuclear DAF-16 into stress-response gene activity. Dial signaling down to mimic a daf-2 mutant, knock out daf-16 to reproduce the classic epistasis experiment, or fire an insulin pulse to watch the whole population re-equilibrate in real time.
A 2D stochastic chemical-kinetics model of the insulin/IGF-1 (IIS) pathway: each DAF-16/FOXO molecule is an independent three-state Markov chain (cytoplasmic-phosphorylated, cytoplasmic-dephosphorylated, nuclear) with real per-frame transition probabilities 1-exp(-rate*dt), diffusing by true Brownian motion inside a cell/nucleus compartment diagram, plotted live against the analytic mean-field steady state.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install