We’ve been selected to lead a $21M ARPA-H CATALYST initiative in collaboration with Amgen and leading academic institutions.

   

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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%.

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

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Example table

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

#1 in Polaris ADMET competition

Inductive’s Beacon-1 model won the Polaris Ligand ADMET competition – 
A blinded, open competition of 39 competitors from leading AI drug discovery companies and academic groups focused on predicting ADMET for a coronavirus main protease program.

See how we did it
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Explore Inductive’s consortium & Beacon-1 powered solutions

Chemical structure of a molecule displayed with detailed properties including molecular weight, solubility, pKa values, metabolism, and permeability on a scientific software interface.

Prioritize your designs with the Compass platform

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Partner to explore broad & diverse chemical space every DMTA cycle

AI-enabled consulting
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Accelerate your path to DC with end-to-end AI-informed synthesis and testing

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