DMPK.AI
Model catalog

Every DMPK endpoint, one catalog

Eleven production and beta models spanning ADME, CYP interactions, clearance, PK, and PK/PD — each with calibrated uncertainty and a consistent API.

CYP

CYP Inhibition

Production

Predicts inhibition risk across major CYP450 isoforms.

Input
SMILES / molecular structure
Output
Per-isoform inhibition probability + confidence interval
API available

CYP

CYP Substrate Classification

Production

Classifies whether a compound is a substrate of major CYP enzymes.

Input
SMILES / molecular structure
Output
Multi-label substrate classification (per isoform)
API available

ADME

Microsomal Stability

Production

Predicts metabolic stability in liver microsome assays.

Input
SMILES + species
Output
% remaining at 30 min / predicted half-life class
API available

Clearance

Intrinsic Clearance

Production

Predicts hepatic intrinsic clearance (CLint).

Input
SMILES + assay system
Output
CLint (µL/min/mg protein) with uncertainty band
API available

ADME

Plasma Protein Binding

Production

Predicts fraction unbound in plasma across species.

Input
SMILES + species
Output
Fraction unbound (fu) with calibrated interval
API available

ADME

Permeability

Production

Predicts passive membrane permeability (Caco-2 / PAMPA-like).

Input
SMILES / molecular structure
Output
Papp class + continuous estimate (10⁻⁶ cm/s)
API available

PK

Half-Life

Beta

Predicts terminal elimination half-life.

Input
SMILES + species + route
Output
t½ (hours) with uncertainty band
API available

PK

Volume of Distribution

Beta

Predicts steady-state volume of distribution.

Input
SMILES + species
Output
Vss (L/kg) with confidence interval
API available

PK

Oral Bioavailability

Beta

Predicts fraction of oral dose reaching systemic circulation.

Input
SMILES + species + formulation notes
Output
%F estimate with calibrated interval
API coming soon

PK

PK Parameter Prediction

Beta

Joint prediction of core PK parameters from structure.

Input
SMILES + species + dose route
Output
CL, Vss, t½, Cmax, AUC — joint posterior estimates
API coming soon

PK/PD

PK/PD Modeling

In Development

Links exposure predictions to pharmacodynamic response.

Input
PK profile + target/assay context
Output
Simulated exposure–response curves
API coming soon