How do I simulate a protein fold?

Open this page and use the live Pharmacokinetics Suite tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.

Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.

Can I use my own numbers?

Absolutely — every input is adjustable, and with data import you can drive a protein fold from your own measurements.

Use case · powered by Pharmacokinetics Suite

Pharmacokinetics Suite for a protein fold

Simulate a protein fold live in your browser. This runs the real Pharmacokinetics Suite solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

For:Students Researchers Educators Engineers Hobbyists & Makers K-12 Students First Responders

Radioactive Decay

open full solver →

Radioactive DecayLive

exponential decay · half-life

Controls

Speed1×

Every half-life, half the remaining atoms decay. After n half-lives, only (1/2)ⁿ is left — the basis of carbon dating and nuclear physics.

Presets

Half-life

▶ Run in Python

Data Inspector

Half-life4.0

Time0.0

Remaining100.0%

Half-lives0.00

Governing equation

N (t) = N_{0} e^{- λ t}, λ = \frac{ln 2}{4.0} = 0.173

Reading this result: Each half-life removes half of whatever remains, so the curve falls steeply at first and then flattens into a long tail.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

↓

Monte Carlo

open full solver →

Monte Carlo Price SimulationLive

geometric Brownian motion

Controls

Presets

Initial price S₀

Expected return μ

Volatility σ

Horizon (years)

Geometric Brownian motion models a price with constant drift and random volatility — the assumption behind Black-Scholes. Running hundreds of simulated paths reveals the full distribution of outcomes, not just an average. Educational tool, not investment advice.

▶ Run in Python

Data Inspector

Median outcome$0

5th percentile$0

95th percentile$0

Governing equation

S_{t + Δ t} = S_{t} e^{(0.07 - \frac{0. 2 ^{2}}{2}) Δ t + 0.2 Δ t Z}, \tilde{S}_{1} \approx $0

Reading this result: Median outcome is about $0, just under the drift-only $107 — GBM compounds in log-space, so volatility always pulls the typical path below the average.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

or unlock everything with Pro →

About this simulation

The full Pharmacokinetics Suite tool models a protein fold with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

More you can do with Pharmacokinetics Suite

Pharmacokinetics Suite for a bacterial growth Pharmacokinetics Suite for a predator-prey cycle Pharmacokinetics Suite for a neuron firing Pharmacokinetics Suite for a heartbeat Pharmacokinetics Suite for a virus spread Pharmacokinetics Suite for a gene expression Pharmacokinetics Suite for a muscle contraction Pharmacokinetics Suite for a blood flow

Other ways to simulate a protein fold

Dynamical Systems for a protein fold Epidemic Network for a protein fold Spatial Predator–Prey for a protein fold SIR Epidemic for a protein fold Hodgkin-Huxley Neuron for a protein fold Lotka-Volterra for a protein fold

Frequently asked questions

How do I simulate a protein fold?: Open this page and use the live Pharmacokinetics Suite tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?: Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?: Absolutely — every input is adjustable, and with data import you can drive a protein fold from your own measurements.