26.4 (2026-09-15)
Dataset improvements
expression_scoreshas been retired in favor of consolidatedbinding_scores.- The
binding_scoresandreplicate_binding_scoreshave been improved to account for expression and dropouts. These dataframes now account for every target-candidate pair even if there was no binding score recorded. The newis_expressed:boolcolumn tracks if the candidate binder was successfully expressed andexpression_umi_count:numberreports the UMI diversity of the input into the binding process.
Process improvements
- Multiple optimizations to the binding process parameters to increase UMI recovery.
26.3 (2026-06-30)
This release focuses on optimizing the antigen expression process, binding process, and sequencing analysis to improve the ability to characterize weaker binders with greater sensitivity.Dataset improvements
- Data labeling task metadata and UMI aligned-read provenance datasets are included alongside the primary datasets:
dim_candidatesdim_samplesaligned_reads
- Binding scores now take bind and wash process noise into account using negative control samples.
- UMI clustering was updated to improve unique molecule counts.
- Aligned-read filtering now includes only perfect coding regions.
Process improvements
- Binding incubation parameters were adjusted to allow weaker binders to reach equilibrium more consistently.
- A flash-wash protocol reduces bead binding time and end-to-end wash time.
- Default antigen-dose parameters improve sensitivity across a broader range of candidate binding strengths.
- Negative controls now include a null-antigen sample of expressed candidates that undergoes the identical binding process.
- Binder expression process conditions were optimized to improve yield uniformity.
26.2 (2026-06-12)
This minor update addressed usability issues with exposed data and schemas.- Internal replicate details, including UMI counts, are now available in standard datasets:
expression_replicatesbinding_replicatesspecificity_replicates
26.1 (2026-05-29)
The initial production-ready release of Instance Data Lab.- Initial production release of the protein experimental ground-truth generation harness.
- Baselined and benchmarked against open-source datasets.
- Support for SinoBiological recombinant protein soluble antigens.
- Support for candidate binders up to 175 amino acid residues, including mini-protein and VHH designs.
- Support for
expression,binding, andspecificitydata labels. - Native support for replicates, multiple antigen doses, and unique molecular identifiers (UMIs).

