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Beacon-1

AI-powered ADMET prediction across 13 endpoints including solubility, permeability, stability, and toxicity.

Solution by Inductive Bio
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Overview

Beacon-1 is a suite of state-of-the-art AI-powered ADMET prediction models developed by Inductive Bio. Designed for drug discovery teams, Beacon-1 learns from large datasets how best to represent chemical structures in order to generate highly accurate predictions across a broad range of absorption, distribution, metabolism, excretion, and toxicity endpoints. The models are fine-tuned and regularly updated to ensure optimal performance within each organization's specific chemical space.

Beacon-1 has demonstrated industry-leading predictive accuracy, achieving consecutive first-place finishes in the world's largest blind ADMET benchmarking competitions. In the 2025 Polaris Ligand ADMET competition run by OpenADMET in partnership with ASAP, Beacon-1 outperformed 39 competitors from leading AI drug discovery companies and academic groups, predicting ADMET properties for a coronavirus main protease program. In the 2026 OpenADMET blind competition run in partnership with ExpansionRx, Beacon-1 again took first place across more than 370 submissions, predicting up to 9 endpoints across over 2,250 compounds.

ADMET Endpoints Covered

  • Microsomal Stability
  • Hepatocyte Stability
  • Cell Membrane Permeability
  • Efflux
  • Solubility
  • Experimental LogD
  • Plasma Protein Binding
  • pKa
  • hERG Inhibition
  • In Vivo PK
  • Blood-Brain Barrier (BBB) Penetration
  • Off-target Toxicity
  • Drug-Drug Interactions (DDIs)

Model Quality and Data Handling

  • Every model is fine-tuned and regularly updated to ensure optimal performance within a given chemical space
  • Heterogeneous data from multiple sources are standardized prior to training
  • Beacon-1 learns to adjust for variance across different assay conditions, improving reliability and consistency of predictions

Integrated Solutions and Workflows

  • Compass Platform: Beacon-1 powers the Compass platform, enabling teams to prioritize compound designs with AI-informed ADMET insights at each stage of the design-make-test-analyze (DMTA) cycle
  • Embedded Experts: Inductive Bio offers consortium partnerships to help teams explore broad and diverse chemical space across every DMTA cycle
  • End-to-End AI-Informed Development: Beacon-1 supports accelerated paths to drug candidate (DC) nomination through AI-informed synthesis and testing workflows

Beacon-1 is accessible via the Compass platform and through Inductive Bio's embedded expert partnerships, making it suitable for organizations seeking to integrate cutting-edge ADMET prediction into their drug discovery programs at any stage of development.

Meta

Domain
Computational Drug Safety & PKPD Modeling
Subdomain
In Silico Toxicology & Safety Prediction
Software type(s)
Computational Engine
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Research ScientistBioinformatician / Computational ScientistMedicinal Chemist
Tag(s)
Uses AI