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GDPa3: Antibody developability dataset of 80 IgGs from the Observed Antibody Space

Contains developability assay data for 80 IgGs sampled from the Observed Antibody Space (OAS) to represent sequence diversity. GDPa3 served as the blinded, held-out test set for the 2025 Ginkgo Datapoints Antibody Developability Competition and was released at its conclusion, as described in 2025 Ginkgo Datapoints Antibody Developability Competition outcomes: limited model performance and a call for data standardization (mAbs, 2026).

Example usage

Using pandas:

import pandas as pd

# Login using e.g. `hf auth login` to access this dataset
df = pd.read_csv("hf://datasets/ginkgo-datapoints/GDPa3/GDPa3_20260209.csv")

Using Hugging Face datasets:

from datasets import load_dataset

# Login using e.g. `hf auth login` to access this dataset
ds = load_dataset("ginkgo-datapoints/GDPa3")

Data processing

The main table in this data (GDPa3_20260209.csv) has one row per antibody. It joins the "Sequences" sheet of the full datasheet with the "Assay Data - average" sheet, which reports the mean, standard deviation, and replicate count for each assay.

Antibodies

All 80 antibodies are IgG1, split evenly between kappa and lambda light chains.

Developability assays

  1. Titer
  2. Aggregation by SEC (% monomer)
  3. Thermostability by nanoDSF
  4. Colloidal stability by SMAC
  5. Hydrophobicity by HIC
  6. Heparin binding by HAC
  7. Self association by AC-SINS at pH 7.4 and pH 6.0
  8. Polyreactivity against CHO SMP and ovalbumin

Full Datasheet

Our full datasheet in Excel format (GDPa3_20260209_full.xlsx) contains the following information:

  • Definitions of column headers in other datasheets
  • Antibody sequences
  • Assay data in "tidy data" format with one row per replicate
  • Assay data summary statistics with average, standard deviation, and replicates for each assay
  • Versioning

Changelog

  • February 9th, 2026 (v3.2): Added AC-SINS data.
  • January 6th, 2026 (v3.1): Initial data drop.

Contact

For more information on this data, see our website at https://datapoints.ginkgo.bio/, or contact us at datapoints@ginkgobioworks.com for specific questions about the data.

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