Interaction matrix
A full interaction matrix: every candidate by every target, ranked by relative binding strength.
Platform
Traditional binding assays test one pair at a time. Lagomics tests all of them together, in a single pooled reaction, and uses sequencing to read out which pairs actually interacted and how strongly.
1
Barcode every candidate
Cell-free expression. Unique DNA tag per sequence.
2
Pool in one reaction
All candidates and targets together. No per-pair setup.
3
Enrich binders
Interacting pairs linked and kept. Non-binders washed away.
4
Sequence the pool
One Illumina run reads which barcodes survived. Pooled, barcoded, sequencing-based.
A full interaction matrix: every candidate by every target, ranked by relative binding strength.
Which candidates bind targets outside the intended set.
Which candidates compete for the same binding site.
Raw sequencing data, if your team wants to reprocess it or feed it into your own models.
| Traditional (SPR / ITC / ELISA / Y2H) | Lagomics (pooled, sequencing-based) | |
|---|---|---|
| Candidates per run | 1 | Thousands |
| Cost driver | Scales linearly with candidate count | Scales with sequencing depth, not candidate count |
| Off-target data | Rarely collected | Generated automatically |
| Turnaround for a full library | Months | Weeks |
| Infrastructure needed on your end | Instrument time and protein purification per candidate | A list of sequences |
Starting with the tractable cases. Built to scale to the hard ones. We're validating this approach on well-established, well-characterized interaction types first. These are the cases where ground truth already exists, so we can validate the pooled, barcoded, sequencing-based method end to end before asking you to trust it on your hardest problem.
From there, the same mechanism scales to denser, less-characterized interaction spaces: larger candidate libraries, messier target sets, and many-to-many mapping problems that do not have good tools today. Early pilot partners help shape which interaction types we tackle next.