Our approach
How we design
A single, replicable pipeline that scales across diseases and modalities.
Target discovery
Single-cell transcriptomics (scGPT) on disease vs healthy datasets to find druggable, cell-type-specific targets — unbiased and reproducible across datasets.
Binder design
VHH libraries generated with composition rules and structure-aware filtering, then ranked by ESM-2 naturalness score.
Structural validation
AlphaFold 3 multimer prediction with iPTM scoring, ESMFold confidence checks, and 10 ns molecular dynamics in implicit solvent for complex stability.
Wet-lab partners
Production and binding assays via academic collaborations (CSIC, Erasmus MC) — keeps capex low while accelerating real-world validation.