FLUXMATERIA — ADMET

ADMET screening that tells you what it knows — and what it doesn't.

Run full developability panels on candidate sets. Get predictions with confidence indicators. Export decision packets for downstream review.

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Capabilities

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Full ADMET panel

Absorption, distribution, metabolism, excretion, toxicity endpoints

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Physics-informed

Physics-only predictions with no ML or AI correlations

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Confidence indicators

Know how much to trust each prediction

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Batch processing

Screen entire candidate sets efficiently

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Exportable reports

Decision packets with full provenance

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Comparison tools

Side-by-side candidate evaluation

The confidence difference

Most ADMET tools give you a number. FluxMateria gives you a number and tells you how much to trust it.

High confidence

Prediction is reliable for this chemical space. Proceed with screening logic.

Medium confidence

Prediction is informative but verify experimentally for critical decisions.

Low confidence

Molecule is outside reliable prediction space. Consider alternative assays.

Typical workflow

1

Input

Paste SMILES, upload a list, or pull from Workspace

2

Configure

Select ADMET endpoints (or use default panel)

3

Run

Batch computation with progress tracking

4

Review

Inspect results with confidence highlighting

5

Compare

Side-by-side candidate evaluation

6

Export

Decision packet with full provenance

Verified Benchmark Results

Validated against curated datasets with verified labels from FDA, peer-reviewed literature, and quality-controlled databases.

70.3%
Permeability Acc
81.8%
BBB Accuracy
12.88%
PPB MAE
253K+
Compounds Validated
Module Metric FluxMateria Validation Scale Status
Permeability (Caco-2) Pearson r +0.964 40,318 compounds ✓ Strong
Metabolism (CLint) Pearson r +0.753 38,482 compounds ✓ Strong
PPB (Ensemble) Pearson r +0.714 14,031 compounds ✓ Strong
hERG (Ensemble) Pearson r +0.436 5,280 compounds ✓ Competitive
BBB Permeability Accuracy 81.8% 7,803 compounds ✓ Competitive
Solubility logS MAE 0.709 1,128 compounds ✓ Competitive
DILI Hepatotoxicity 3-Class Acc 73.8% 500 stratified ✓ Competitive
CYP Inhibition (v4.1) 5-Isoform Acc 82.6% 5 CYP isoforms ✓ Strong

253K+ compounds validated across 8 ensemble endpoints. Full interpretability preserved.

See full methodology →

Speed advantage

Single-threaded CPU performance. No GPU required.

812-1,035
mol/sec full panel
All 8 endpoints
100%
interpretable
Every prediction traces to molecular properties
Per-Endpoint Throughput
Endpoint Throughput Method
BBB, Solubility ~300 mol/sec Physics descriptors
DILI Hepatotoxicity ~2 mol/sec Similarity ensemble (143K ref)
Permeability (ensemble) ~26 mol/sec Tanimoto similarity (40K ref)
PPB (ensemble) ~21 mol/sec Tanimoto similarity (14K ref)
Metabolism (ensemble) ~8 mol/sec Tanimoto similarity (38K ref)
hERG (ensemble) ~1.3 mol/sec 3D docking + similarity

All measurements single-threaded on CPU. Ensemble endpoints trade speed for accuracy via structural similarity to validated reference compounds.

Scope notes

  • Novel scaffolds far from validated chemical space may have lower confidence
  • Some toxicity endpoints have limited experimental validation data
  • Predictions are for screening prioritization, not regulatory submission

Evaluate the platform

Interactive demo

No account required. Paste a SMILES string and see the full panel with confidence indicators.

Run Demo →

Batch evaluation

Upload a CSV of molecules and see results across your candidate set.

Request Batch Access →