DeepCyte Launches World's First Single-Cell Mechanistic Toxicity Atlas as Enterprise Pharma Pilots Advance

Proprietary training dataset spanning 300,000 cells and ~100 compounds positions DeepCyte to transform preclinical toxicology with mechanism-based prediction

WILMINGTON, Del. and COPENHAGEN, Denmark, Aug. 19, 2026 /PRNewswire/ -- DeepCyte Inc., a techbio company building AI toxicology tools for drug development, today announced the launch of DeeTox Atlas™, the world's first single-cell metabolomic reference atlas of drug toxicity mechanisms. Enterprise pilot programs with global pharmaceutical companies begin in the coming months.

DeeTox Atlas™ is a foundation dataset built from two independent single-cell metabolomics perturbation studies, spanning approximately 100 toxicant compounds, 300,000 cells, and ~500 metabolites per cell — over 3,000 single-cell measurements per compound across six biological replicates. Each compound is mapped to a curated four-level hierarchy of toxicity mechanisms anchored to established Adverse Outcome Pathways (AOPs).

Rather than generating new wet-lab data for every compound, DeepCyte trains a foundation model capable of predicting toxicity mechanisms for compounds it has never measured. As the atlas expands, the platform becomes increasingly scalable, reducing laboratory dependence while improving predictive performance.

"AI in toxicology is only as good as the biological data it learns from. DeeTox Atlas lets us find subtle molecular patterns tied to key toxicity mechanisms — patterns our validation studies show are expressed in small subpopulations of cells and are effectively invisible to methods lacking single-cell resolution — and turn them into predictive models," said Theodore Alexandrov, Co-Founder and CEO of DeepCyte. "Our vision is to move toxicology from reactive laboratory testing toward predictive, mechanism-based AI that surfaces and explains safety liabilities earlier in drug discovery."

The Atlas will expand with more compounds, mechanisms, and biochemical and clinical data, making predictions more actionable for toxicologists, medicinal chemists, and safety scientists.

DeepCyte has also appointed Mona Lakkis as Senior Vice President of Partnerships. Formerly Senior Vice President & General Manager at Owkin, Lakkis will lead enterprise commercialization as DeepCyte advances pilots with three of the top 20 pharmaceutical companies.

About DeepCyte

DeepCyte is an AI-powered techbio company developing predictive toxicology solutions for drug discovery. By training mechanistic AI models on proprietary single-cell data, DeepCyte helps pharmaceutical companies predict toxicity mechanisms earlier, accelerating safer and more efficient therapeutic discovery.

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Oak Street Communications

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