Boltz ADME

Boltz ADME webserver overview

Boltz ADME predicts three ADME properties for small molecules from SMILES: lipophilicity (LogD), permeability and solubility. A job takes up to 1,000 molecules and returns one table row per molecule.

ProteinIQ sends the molecules to Boltz's hosted ADME model (adme-v1) through the Boltz API, in groups of up to 128, and combines the answers into one table. For an open-source ADMET panel with more endpoints, see ADMET-AI.

Pricing

Boltz ADME costs a flat rate per molecule submitted. The total is rounded once for the whole job.

Molecules	Credits
1	21
10	203
100	2,026
500	10,127
1,000	20,254

Molecule size does not affect the price. The exact quote is calculated before submission. If Boltz estimates a noticeably higher cost when the job starts, the run is not started and the credits are refunded.

Inputs

Input	Accepted formats	Limits and behavior
SMILES	Pasted text, or a .csv, .tsv, .smi, .smiles or .txt file	One list per job, up to 1,000 molecules and 50 MB. Lines starting with # are ignored.

The list can take any of these forms:

• One SMILES per line. Molecules are named mol_1, mol_2 and so on.
• name<TAB>SMILES or name,SMILES on each line.
• A CSV or TSV table whose header has a smiles column. The id or name column, when present, supplies the molecule IDs.

Repeated names get a numeric suffix such as _2 so each row stays traceable. Job name is an optional label for the saved run.

Settings

Boltz ADME has no model settings.

Outputs

Results lists one row per molecule. Files holds the downloads.

Download	Contents
boltz_adme_adme.csv	id, smiles, status, lipophilicity, permeability, solubility and error for every molecule.
boltz_adme_predictions.json	Boltz's full prediction records for each group of molecules.

The scored molecules and the CSV table can be passed to other tools in workflows.

Understanding results

Column	Meaning
Status	Whether Boltz scored the molecule.
Lipophilicity (LogD)	Predicted distribution coefficient, as returned by Boltz.
Permeability	Boltz's permeability prediction.
Solubility	Boltz's solubility flag.
Error	Boltz's message for a molecule it could not score.

The values are model predictions for prioritizing compounds, not measured properties. The JSON record keeps Boltz's original fields for anything the table summarizes.