BEACON-1

State-of-the-art ADMET models

Beacon-1 learns from large datasets how best to represent chemical structures in order to generate highly accurate ADMET predictions.

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Overview of Compound 04 with chemical structure, molecular property stats including MW 389.09, HBD 1, HBA 4, TPSA 72.47, RBN 6, Fsp3 0.59, and ADME parameters such as LogD 0.39, Kinetic Solubility 160, HLM 1.8, MDCK-MDR1P app 6.6, MDCK-MDR1 ER 2.9, and hPPB 87%.

Three consecutive 1st place finishes in the world's largest ADMET benchmarks

1st place in OpenADMET's 2026 blind PXR induction challenge

Inductive's Beacon-1 secured 1st place in OpenADMET's blind PXR induction challenge, surpassing over 350 entries in predicting this key ADMET liability.

See the results

1st place in OpenADMET’s 2026 blind ADMET competition with ExpansionRx

Inductive’s Beacon-1 won the OpenADMET and ExpansionRx blind challenge, outperforming 370+ submissions across 9 endpoints and 2,250 compounds.

Explore the winning approach

1st place in OpenADMET’s 2025 blind competition with ASAP

Inductive’s Beacon-1 won the Polaris Ligand ADMET competition, beating 39 top AI drug discovery teams in predicting ADMET for a coronavirus protease program.

See how we did it

Models available:

Microsomal Stability
Hepatocyte Stability
Cell Membrane Permeability
Efflux
Solubility
Experimental LogD
Plasma Protein Binding
pKa
hERG Inhibition
In Vivo PK
BBB
Off-target Toxicity
DDIs

Every model is fine-tuned & regularly updated to ensure optimal performance in your chemical space

Cluster of light blue particles or cells spreading outward on a black background, forming a porous, organic pattern.
Example table

Heterogenous data are standardized for training, and Beacon-1 learns to adjust for variance across each assay

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