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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.

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Dataset Improvements

  • Data labeling task metadata and UMI aligned-reads data provenance datasets are included alongside the primary datasets.
    • labeling_task_candidates
    • dim_samples
    • aligned_reads
  • The binding score now takes into account the bind and wash process noise, measured using the negative control samples.
  • Updated UMI clustering to increase the accuracy of unique molecule counts.
  • Updated aligned reads filtering to only include perfect coding regions.

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Process Improvements

  • Several optimizations to the binding process to reduce process noise, variability, and better reflect binding equilibrium.
    • Binding incubation process parameters have been adjusted to allow weaker binders to reach equilibrium more consistently.
    • Implemented a new flash-wash protocol that minimizes bead binding time and end-to-end wash time to reduce the potential for disturbing the binding equilibrium state.
  • Updated the default antigen dose process parameters to improve sensitivity over a broader range of candidate binding strengths.
  • Negative controls have been expanded to include a null-antigen sample of expressed candidates that otherwise still undergoes the identical binding process.
  • Minor optimization to the binder expression process conditions to improve yield uniformity.

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26.2 (2026-06-12)

Minor update addressing usability issues with the exposed data and schemas.
  • Exposed internal replicate details including UMI counts as standard datasets:
    • expression_replicates
    • binding_replicates
    • specificity_replicates

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26.1 (2026-05-29)

The initial production-ready release of instance Data Lab.
  • Initial production release of protein experimental ground truth generation harness.
  • Baselined and benchmarked against open-source datasets.
  • Support for the SinoBiological Recombinant Protein soluble antigens.
  • Support for candidate binders with a total size of 175 amino acid residues, flexible framework, and internal variable payload of 104 amino acids; ideal for mini-protiens and VHH designs.
  • Support for expression, binding, and specificity data labels.
  • Native support for replicates, multiple antigen doses, unique molecular identifiers (UMIs).