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BoltzMol-1

boltzmol-1Docs

Small-molecule design against a protein target from purchasable chemical space.

Input

One or more protein chains, in submission order. Chain IDs are assigned A, B, C...

0 credits

Output

Configure inputs to begin

Set options on the left, then click “Submit job”.

BoltzMol-1 webserver overview

BoltzMol-1 proposes small molecules for a protein target by searching a make-on-demand catalog such as Enamine REAL, then scoring each proposal against the target. A job returns a ranked table of SMILES with Boltz's scores and a predicted complex for each entry.

ProteinIQ sends the job to the hosted Boltz API pipeline and publishes the finished table, structures and records. To score a list of molecules you already have, use Boltz Small Molecule Screen instead.

Pricing

BoltzMol-1 costs a flat rate per requested molecule, so the price follows the Molecules setting. The total is rounded once for the whole job.

MoleculesCredits
10507
502,532
1005,064
50025,317
1,00050,633

Target size, chemical space, reference ligands and filters do not change 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

InputAccepted formatsLimits and behavior
Target proteinFASTA text, .fasta, .fa or .txt file, or a UniProt sequenceRequired. Up to 10 chains, files up to 10 MB, one sequence each. Chain IDs are assigned A, B, C in submission order.
Reference ligandOne SMILES string, a .smi or .smiles file, or a PubChem compoundOptional. Up to 10 known binders that guide the search.

Each target input accepts 1 to 10 copies, and each copy becomes its own chain. Job name is an optional label for the saved run.

Settings

Search

ParameterTypeDefaultDescription
Molecules (num_molecules)integer50Molecules to return, from 10 to 1,000. Each one is billed.
Chemical space (chemical_space)enumenamine_realenamine_real, wuxi_galaxi or none. none lifts the catalog constraint, so results need not be purchasable.
Pocket residues (pocket_residues)stringoptionalBinding-pocket residues as 1-based positions, for example A:45,48-52. Without a chain prefix the first target chain is used.

Molecule filters

ParameterTypeDefaultDescription
Structural alert filter (structural_alert_filter)enumrecommendedBoltz's own SMARTS catalog filter level: recommended, extra, aggressive or disabled.
Lipinski filter (lipinski_filter)booleanfalseRemoves molecules that break Lipinski's rule of five.
Maximum molecular weight (lipinski_max_mw)number500Largest molecular weight kept, in Da. Applies when the Lipinski filter is on.
Maximum LogP (lipinski_max_logp)number5Largest LogP kept. Applies when the Lipinski filter is on.
Maximum H-bond donors (lipinski_max_hbd)integer5Most hydrogen-bond donors kept. Applies when the Lipinski filter is on.
Maximum H-bond acceptors (lipinski_max_hba)integer10Most hydrogen-bond acceptors kept. Applies when the Lipinski filter is on.
Allow one violation (lipinski_allow_single_violation)booleanfalseKeeps molecules that break at most one Lipinski rule.
Additional alert catalog (alert_catalog)enumnoneOne RDKit structural-alert catalog: PAINS, PAINS A, PAINS B, PAINS C, BRENK, NIH, or a CHEMBL catalog.
Excluded SMARTS (excluded_smarts)stringoptionalSMARTS patterns to exclude, one per line or comma-separated.

Outputs

Viewer shows the predicted complexes. Results lists the ranked molecules. Files holds the downloads.

DownloadContents
boltzmol_0001_<name>.cif onwardsPredicted complex for each returned molecule, numbered by rank.
boltzmol_results.csvThe results table.
boltzmol_results.jsonBoltz's run and per-result records.

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

Understanding results

Each row carries a rank, the molecule ID, its SMILES, Boltz's own metric columns, any warnings Boltz attached and the matching structure file. Ranks follow the order Boltz returns, so rank 1 is its top-scoring entry. Nested metrics are flattened into columns joined by underscores.

Scores order candidates within one run and are not measured affinities. Molecules from a make-on-demand catalog are synthesis proposals, so check availability with the supplier before ordering.

Table of contents

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