GDPa5: Antibody developability dataset of 160 clinical and non-clinical VHHs
Contains developability assay data for 160 VHH-Fc constructs drawn from PLAbDAb-nano, including 36 clinical-stage nanobodies, as described in our preprint Predicting VHH-Fc Developability from Large-Scale IgG Data.
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/GDPa5/GDPa5_20261102.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/GDPa5")
Data processing
The main table in this data (GDPa5_20261102.csv) has one row per construct. It joins the "Sequences" sheet of the full datasheet with the "Assay Data - average" sheet, which reports the mean, standard deviation, and count of usable replicates for each assay.
- Averages use replicates flagged Usable; AC-SINS additionally requires High measurement confidence.
- HPLC assays (HAC, HIC, SEC, SMAC) are single-injection per antibody, so their
_stdis blank and_countis 1. in_model_cohortmarks the 100 constructs meeting the modeling quality threshold (sec_%monomer>= 80). Assay data is reported for all 160 constructs either way.- Thermostability values come from the 0.5 degC/min nanoDSF re-run, not the original 1 degC/min run.
Antibodies
All constructs are VHHs fused to a human IgG1 Fc (identical Fc sequence across the panel). origin distinguishes clinical-stage therapeutic nanobodies (36) from discovery library nanobodies (124).
Developability assays
- Thermostability by nanoDSF at a 0.5 degC/min ramp rate (differs from the 1 degC/min run reported in GDPa1)
- Colloidal stability by SMAC
- Aggregation by SEC (% monomer)
- Hydrophobicity by HIC
- Heparin binding by HAC
- Self association by AC-SINS at pH 7.4 and pH 6.0
- Polyreactivity against CHO cell lysate and ovalbumin
- Polyreactivity against baculovirus particles (BVP) in two blocking buffers (SuperBlock and BSA)
Full Datasheet
Our full datasheet in Excel format (GDPa5_20261102_full.xlsx) contains the following information:
- Definitions of column headers in other datasheets
- Antibody sequences
- Assay data summary statistics with average, standard deviation, and replicates for each assay
- Assay data in "tidy data" format with one row per replicate, including usability, confidence, and QC annotations
- Model summary: train and test metrics for the models in the preprint (IgG-to-VHH transfer and VHH leave-one-cluster-out cross-validation), with dataset provenance and leakage flags. It covers only the 100 constructs in the model cohort.
- Versioning
Changelog
- November 2nd, 2026 (v5.2): Added the model summary.
- August 11th, 2026 (v5.1): Added the per-replicate raw assay sheet; averages recomputed from the raw data; assay data reported for all 160 constructs with an
in_model_cohortflag. - June 18th, 2026 (v5.0): 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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