Industries · Pharma & life sciences

Pharma & life sciences

Written for
Discovery chemistry, structural biology and formulation science: long-acting injectables and excipients.
The decision
Which pocket to target before the assay campaign; which carrier or excipient to take to the bench.
How it is done today
Assay campaigns per target; formulation screens by trial and error.
When it goes wrong An assay campaign per target takes months; a failed formulation screen costs a bench quarter.

Applications

ApplicationYou giveYou getStatus
Allosteric site prediction from the structure file
Proof AUC 0.89; energetics within 1.4% · Read the case
A PDB or mmCIF fileA ranked residue list from structure aloneLive on quantum hardware
Formulation and excipient candidate ranking
Proof Live with a formulation partner on long-acting injectables · Read the case
Candidate carriers or excipientsThe ordering and the smallest difference between neighbours it resolvesLive on quantum hardware
Drug-candidate and fragment energeticsCandidate fragments or active spacesBinding energetics, with the smallest difference it resolves statedReady · computed, hardware next
Protein–ligand interaction energeticsThe complexInteraction energetics, with the smallest difference it resolves statedReady · computed, hardware next
Clinical and hospital shift schedulingStaff, shifts and rulesA rotaDeployed through the platform network
Medical-imaging classificationLabelled imagesA classifier and its accuracyDeployed through the platform network
What changes for you
  • A ranked site list from structure alone, with no assay data.
  • Formulation candidates ranked before the bench.
  • The scope is stated: it does not rank drug candidates, and on the public benchmark the current best method still leads.
First engagement
You send One structure file, PDB or mmCIF.
You get back The ranked sites. Two weeks.

Proof · Allosteric site prediction

Research result
AUC 0.89
on an independent biological benchmark, for allosteric sites read from the structure file alone; site energetics within 1.4% of reference
Baseline Exact reference energies; an independent biological benchmark set
Platform Quantum hardware plus simulation
Decision
Which pocket to target before the assay
What is modelled
Site energetics of the protein, from the structure file alone, with no assay data.
Operational outcome
  • Ranked candidate sites before the assay
  • Site energetics within 1.4% of reference
  • Fewer assays on sites that will not bind

Problem size Whole-protein structure files · per-site energetics · Scope A site-prediction method; it does not rank drug candidates, and on the public benchmark the current best method still leads.

Benchmark

Published reference Peptides of 14–16 residues folded on 46–61 trapped-ion qubits reach the classical reference energy on some instances. arXiv:2604.26861
Merlin AUC 0.89 · site energetics within 1.4% of reference
Baseline Exact references; an independent biological benchmark

Further results in this industry

Case studies

Pharma · life sciencesQuantum hardware · Simulation
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.
Materials · chemicals, mobility, aerospace, pharmaQuantum hardware · Simulation
The same measurement that ranked four photoresist formulations in the right order on a quantum processor applies to battery and lightweight materials, airframe and propulsion materials, formulation additives and excipients: candidates ranked with the energy gap each ranking rests on, before synthesis.

Other industries

Semiconductors & advanced materials · Energy & utilities · Chemicals & process manufacturing · Mobility & automotive · Telecom · Finance · Security & critical infrastructure · Aerospace & sovereign programmes