02 // Pharmacokinetics
Serum
A pharmacokinetics modeling tool for research peptides. Enter a dosing schedule and Serum plots the predicted concentration curve over time — a one-compartment model with first-order absorption and elimination, each administration contributing independently and summed by superposition. The dashboard tracks which compounds remain above zero, when the next administration falls, and how close a compound is to steady state, alongside any body metrics recorded over the same window.
The regimen simulator is the piece I built it for: model up to four hypothetical schedules side by side and read off the steady-state behavior — Cmax, Cmin, Cavg, fluctuation, accumulation ratio, and time to 90% of plateau — as a purely theoretical comparison, separate from any recorded data. It ships with a reference library of published half-life, time-to-peak and bioavailability values, each tagged with a confidence level, plus 3D crystal structures pulled from the PDB. Everything stays in the browser: no account, no server, no tracking.
Superposition modelC(t) = Σ F·D · (ka/(ka−ke)) · (e−ket − e−kat), summed across every dose.
Regimen simulatorCompare up to four theoretical schedules and read their steady-state metrics side by side.
Reference libraryPublished PK parameters with confidence ratings, editable, plus your own entries.
Real structuresCrystal structures fetched from the RCSB PDB and rendered in 3D.
Honest about the modelPopulation-average parameters in relative units — an educational modeling tool, not a medical device or a substitute for assayed bloodwork.
Local onlyAll records in localStorage with JSON and CSV export. No account, no server, no tracking.
One-compartment PKLinear superpositionSteady-state metricsRCSB PDBJavaScriptlocalStorage
Built for experimental and educational modeling of published pharmacokinetic parameters. Not a medical device, and not medical advice.