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26.4 (2026-09-15)

Dataset improvements

  • expression_scores has been retired in favor of consolidated binding_scores.
  • The binding_scores and replicate_binding_scores have 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 new is_expressed:bool column tracks if the candidate binder was successfully expressed and expression_umi_count:number reports 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_candidates
    • dim_samples
    • aligned_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_replicates
    • binding_replicates
    • specificity_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, and specificity data labels.
  • Native support for replicates, multiple antigen doses, and unique molecular identifiers (UMIs).