Pharma · life sciences

Find where a protein can be drugged before the assay

Candidate allosteric sites read from a structure file alone, with the site model validated against exact references. A method result: no drug-ranking gain is claimed.

Headline result

Within 1.4% of exact

Input is a structure file; no assay data required

Measured on quantum hardwareClassical computation
Illustration for the case: Find where a protein can be drugged before the assay
01 · The decision

The decision on the table

Allosteric sites, the places away from the active site where a drug can still switch a protein, are usually found by assay campaigns that take months and are run on every target in turn.

02 · What we did

What we did, with proprietary methods

We read the protein’s contact network as a coupled system and ranked residues by how strongly they carry the response, from a PDB or mmCIF structure alone. The site model was checked against exact references and against known biology.

03 · What it was worth

What it was worth

Input is a structure file; no assay data required

Key result · Pharma · life sciences
A ranked list of candidate sites from structure alone
Baseline
An assay campaign per target
Condition
Input is a structure file; no assay data required
A site model you can check
Baseline
Pairwise contact models, which miss collective effects
Condition
The model agrees with its exact reference within 1.4%
Outcome

What happened next

The site model passed its exact-reference check, within 1.4%. On the independent public benchmark it does not lead the current best method, so it ships as a method result, with no drug-ranking gain claimed.

Decision it enabled

A ranked list of candidate sites from structure alone

Instead of: An assay campaign per target

Verified by · Device result + simulation, checked against exact references.

05 · How we know

How we know

  1. 01Collective-response model within 1.4% of exact at the validated size (quantum hardware plus simulation).
  2. 02Area under the curve up to 0.89 against known biology.
  3. 03On the independent public benchmark we do not lead the current best method; we state that plainly.
  4. 04Not claimed: a drug-ranking gain.
StatusMeasured on quantum hardwareClassical computationMeasured on quantum hardware and in simulation, validated against exact references. Method result only.

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