Coming 2026

We Map It.
You Make It.

Deterministic structural resolution for undruggable targets. Know the structure is valid before committing capital to synthesis.

5
Validated Targets
-5.3
Best Score (kcal/mol)
100%
Reproducible

Five targets. Five whitepapers.

Each structure resolved deterministically and validated via NVIDIA DiffDock blind docking simulation.

UniProt Protein Challenge Best Score Paper
P01106 MYC Undruggable 40 years, intrinsically disordered -3.060 View PDF
P02768 Serum Albumin C-terminal structural ambiguity -5.193 View PDF
P15144 Aminopeptidase N 967 residues, inflammation/cancer target -4.122 View PDF
Q8NBP7 PCSK9 Cholesterol regulation, small-molecule elusive -2.922 View PDF
Q8WZ42 Titin 38,138 residues, largest human protein -5.292 View PDF

DiffDock validated.
Backed By Physics.

NVIDIA MIT DiffDock is a diffusion-based molecular docking model that predicts ligand binding poses without prior knowledge of the binding site location. It's the industry standard for computational validation.

  • Blind docking — no hints, no guidance
  • 20 poses generated per target
  • Scores measured in kcal/mol
  • Reproducible by any third party
  • Results documented in whitepapers
diffdock_validation.sh

Deterministic structural resolution at any scale.

We resolve coordinates through rigid-body geometric constraints, eliminating the stochastic drift common in probabilistic models. By treating folding as a discrete coordinate geometry problem, we bypass the token-window limits that cause transformer models to fragment large targets.

The result is a rigorous mathematical proof of conformation, validated through independent third-party simulation.

De-risk at the speed of code.

We do the math so you don't burn the money.

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