Methodology

This page explains how PeptidePlotter estimates blood concentration curves so you can interpret every chart with appropriate skepticism.

The 3-tier (plus inherited) PK model

Each compound in our dataset is assigned one of four model tiers based on the quality of published pharmacokinetic data. We use a one-compartment model with first-order absorption (the Bateman function) and superpose individual doses to simulate accumulation.

Advanced model

Inputs: t½ + Cmax + Tmax + F%

Used when all four pharmacokinetic parameters are known. Produces the most accurate concentration curve in real units.

Examples: Testosterone Propionate, Testosterone Undecanoate (Castor Oil), Testosterone Undecanoate (MCT Oil), Testosterone Undecanoate (Oral), Testosterone Suspension, Testosterone Gel (Testogel/AndroGel)…

Linear regression model

Inputs: slope + intercept

For compounds whose peak concentration does not scale linearly with dose (e.g. testosterone esters). Dose-scaling is sublinear.

Examples: Testosterone Enanthate, Testosterone Cypionate

Simple model

Inputs: t½ + F% (Tmax estimated)

Fallback when only half-life and bioavailability are published. Tmax is estimated from the half-life.

Examples: Testosterone Phenylpropionate, Testosterone Isocaproate, Testosterone Decanoate, Estradiol Valerate, Trenbolone Enanthate, Trenbolone Acetate…

Inherited model

Inputs: parent compound model

When no human data exists, the model is inherited from a structurally similar compound. Treat results as approximate.

Examples: Boldenone Cypionate

Limitations

  • Simplified model. One-compartment, first-order kinetics ignore distribution phases, protein binding saturation, and active metabolites.
  • Individual variation. Real levels vary widely with genetics, body composition, and organ function. Use the per-compound "Adjust levels" slider to explore sensitivity.
  • Not medical advice. These curves are for research and harm-reduction education. They will not precisely predict any individual's blood levels.

Data sources

Our compound dataset is derived from a competitor's public pharmacokinetics spreadsheet, cross-referenced to primary literature. Every compound page links to its source. 150 compounds are currently indexed across 1 categories.