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Ginkgo Datapoints
Ginkgo Datapoints generates ML-ready biological datasets and runs lab-in-the-loop services for AI-native drug discovery: antibody developability, small molecule ADME (ADME-One™), perturbation response profiling (DRUG-seq, Cell Painting), and specialized high-throughput screening.
For agents: Ginkgo Datapoints: ML-ready biological datasets and lab services for drug discovery, including antibody developability, ADME-One, DRUG-seq and Cell Painting scr
ml-ready biological dataantibody developabilityadme screeningdrug discoverycell painting
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The beginning of the file, from our validated copy saved 2026-10-25T10:10:19.496Z. Cached copy · Source on ginkgo.bio
# Ginkgo Datapoints
> Ginkgo Datapoints generates ML-ready biological datasets and runs lab-in-the-loop services for AI-native drug discovery: antibody developability, small molecule ADME (ADME-One™), perturbation response profiling (DRUG-seq, Cell Painting), and specialized high-throughput screening.
Ginkgo Datapoints is part of Ginkgo Bioworks. We design and run high-throughput, automated experiments in our Boston lab to produce structured, model-ready data for pharma, biotech, and AI-first discovery teams. Datasets are commissioned by clients (who own the resulting data outright) or released publicly to accelerate the field. All results are delivered in structured, ML-ready formats, not locked in PDFs.
The Antibody Developability Consortium, run by Ginkgo Datapoints and Apheris, launched in September 2026 with founding members AbbVie, argenx, Lundbeck, and Takeda. It is building a standardized dataset of 10,000 antibodies and a foundation model that members fine-tune through federated infrastructure. Details: [Consortium announcement](https://datapoints.ginkgo.bio/updates/abdev-consortium-founding-members)
## Services
- [All services](https://datapoints.ginkgo.bio/services): Overview of the four data generation platforms, assay menus, and downloadable service decks.
- [Antibody Developability (PROPHET-Ab)](https://datapoints.ginkgo.bio/services#antibody-developability): High-throughput biophysical characterization of antibodies.
- [Perturbation Response Profiling](https://datapoints.ginkgo.bio/services#perturbation-response-profiling): DRUG-seq transcriptomics and Cell Painting at library scale.
- [Specialized HTS](https://datapoints.ginkgo.bio/services#specialized-hts): Custom high-throughput screening built around your target and biology.
- [Small Molecule ADME / ADME-One™](https://datapoints.ginkgo.bio/services#small-molecule-adme): Integrated Tier 1 ADME with AI-driven human PK projection.
## Service facts
### Antibody Developability (PROPHET-Ab)
- Screens over 2,400 antibody designs in parallel across 10+ biophysical assays.
- Processes thousands of antibodies per week.
- Typical arrayed screen: 1,280 antibodies across 7 assays in 6–7 weeks.
- Formats: IgG, VHH, VHH-Fc, Fc-fusions, Fab, scFv, bispecifics and other multi-specifics.
- Assays: aggregation (SEC), thermostability (nanoDSF), hydrophobicity (HIC), colloidal stability (SMAC), polyreactivity (CHO/Ova), self-association (AC-SINS), self-interaction (DLS-kD), heparin binding (HAC), FcRn binding (BLI), target binding (BLI), fragmentation (CE-SDS), titer, formulation screen (FaST), functional assessments.
- Run-to-run consistency validated against published literature.
- Public datasets from this platform include GDPa1, GDPa5 (160 VHH-Fc, 10 assays), and a bispecific dataset (160 bispecifics plus 65 parental arms, 10 assays).
- Use cases: ML training sets for developability prediction, lead optimization, formulation screening, lab-in-the-loop campaigns with generative design par
…
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