Ginkgo Bioworks Launches New ADME Service Set to Transform Drug Discovery

Ginkgo Bioworks (NYSE: DNA), a leader in building platforms for cell programming and biosecurity, announced today the launch of a powerful new capability in Ginkgo Datapoints: high-throughput, low-cost ADME (Absorption, Distribution, Metabolism, and Excretion) profiling made possible by Ginkgo's proprietary RAC automation. With all work performed in the United States, this new service aims to match or beat the pricing of Chinese or other international suppliers.

This advanced ADME service is designed to significantly accelerate drug development processes for small molecules and reduce risk, while being optimized for machine learning applications. Ginkgo Datapoints aims to enable researchers to prioritize candidates and train predictive models with unprecedented speed and efficiency by providing access to rich ADME data early in the process. The service reinforces Ginkgo's commitment to delivering high-quality, cost-effective services to the biopharmaceutical sector.

Jason Kelly, Founder and Chief Executive Officer of Ginkgo Bioworks, said, "We believe our new ADME service will be game-changing for drug discovery, and we are excited to launch it. We will match the pricing of any ADME service offer you receive—including from Chinese or other international suppliers—but we expect to beat them on per-compound pricing from the start. Thanks to our automation and scale at Ginkgo, we believe we can deliver the best price and quality."

Key features of the new ADME profiling service include:

•    Scalable, automated workflows at Ginkgo standards
•    Affordable pricing designed for high throughput, with price-matching guarantee against international suppliers
•    Fast turnaround times to keep pace with modern discovery cycles
•    Model-ready datasets enriched with structured metadata for AI-powered insights

With the new service, data will be delivered to researchers in an integrated, seamless manner, in formats suitable for AI applications, and at large scale.