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Induced-Fit Enzyme Catalysis — 2D Stochastic Kinetics

Interactive 2D enzyme kinetics simulator: five active sites run a true stochastic reaction network (E+S⇌ES→E+P, competitive E+I⇌EI) with Poisson-process binding, unbinding and catalysis, live Michaelis-Menten velocity and an apparent Km computed directly from the simulated rate constants.

Molecular Biology2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

This 2D companion simulator swaps the bilobed 3D active site for a bank of five independent 2D binding sites, each running a complete discrete-event stochastic reaction network: E+S⇌ES with an explicit k1/k-1 pair, ES→E+P catalysis at rate kcat, and a dead-end competitive E+I⇌EI branch. Every binding, unbinding and turnover event is drawn from its own Poisson waiting-time distribution rather than a fixed animation timer, so the live velocity, active-site occupancy and apparent Km you see genuinely emerge from the underlying rate constants — adjust substrate load, induced-fit flexibility, temperature and competitive inhibitor to watch Michaelis-Menten saturation kinetics unfold in real time.

⚙ Under the hood

Five 2D active sites run a genuine discrete-event stochastic reaction network (E+S with explicit k1/k-1, ES->E+P at kcat, competitive E+I) instead of a re-projected 3D scene: every binding, unbinding and catalytic step is its own Poisson process, and live velocity plus an apparent Km computed straight from the simulated rate constants track real Michaelis-Menten saturation kinetics.

enzyme kineticsinduced fitMichaelis-Mentenbiochemistrystochastic simulationcompetitive inhibition2D

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install