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Aureka Releases OpenDDE, an Open-Source Drug Discovery Engine Designed to Accelerate AI-Driven Therapeutic Discovery

On Monday, July 6, 2026, AI TechBio company Aureka released Open Drug Discovery Engine , an open-source biomolecular foundation model designed to serve as the structural reasoning core for next-generation drug discovery systems.
Aureka trained the 655 million parameter model over approximately 414,000 GPU-hours, reflecting a broader shift toward addressing biological discovery as an infrastructure problem requiring massive compute and data engineering.
OpenDDE demonstrates strong antibody-antigen co-folding performance, reaching an 81.9% success rate on the 2026ARK-AB benchmark under oracle selection while narrowing the gap with reported IsoDDE-level results.
Releasing training code, inference pipelines, and benchmarks under the Apache-2.0 license, Aureka aims to enable independent validation and global collaboration among researchers, startups, and academic laboratories.
Future development will integrate de novo molecular design and affinity estimation with a high-throughput automated wet-lab platform, creating a closed-loop discovery system for functional antibody development.

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Aureka Releases OpenDDE, an Open-Source Drug Discovery Engine Designed to Accelerate AI-Driven Therapeutic Discovery

All-atom biomolecular foundation model uses co-folding as the entry point to a scalable drug discovery engine; the release marks a concrete step toward advancing open scientific AI for future biomedical research that benefit patients.

20 days ago·Pennsylvania, United States

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