Prometheus Platform  ·  Biological Domain  ·  March 2026

Quantum Precision
for Drug Discovery

Prometheus classifies the electronic landscape of metal-centered biological targets with validated, reproducible results — distinguishing stable benchmarks, coherent open-shell systems, scaffold-induced multi-basin behavior, and fragment pathology. A quality-control layer for computational drug discovery.
What we deliver

Sector-audited electronic landscape classification for metalloenzyme active sites — in days, across Fe, Zn, and Cu systems, with reproducible multi-seed validation.

Validated systems

FePorphyrin FeII ls · Zn_CA2 minimal · Zn_CA2 full imidazole · Cu_SOD_minimal · Zn square-planar scaffold control

4 Locked Canonical Results Fe · Zn · Cu Systems 20-Qubit Operating Point Landscape Classification Engine
Why This Matters

The model validity
problem in drug discovery

Drug discovery teams already have ways to rank compounds. What they often lack is a way to verify that the metal-centered target model itself is trustworthy enough to rank against. A model that looks converged can still sit in the wrong electronic basin — producing rankings and SAR conclusions that are internally consistent but built on the wrong mechanistic foundation.

Prometheus classifies that question explicitly — before it propagates into synthesis decisions.

The Business Case

Most tools optimize on top of models they should not trust.
Prometheus works one layer earlier.

Drug programs around metalloproteins often fail not because the chemistry was wrong, but because the electronic model underpinning the target was never validated. Teams spend weeks or months optimizing compounds, building SAR narratives, and commissioning assays — against a metal-center model that was unstable, multi-basin, or too truncated to support the conclusions drawn from it. Prometheus classifies that model before the chemistry budget is committed.

The result is not a faster drug. It is fewer false mechanistic leads, fewer wasted synthesis cycles, and faster prioritization of compounds and target-state models that are genuinely decision-grade.


For investors

The investable wedge is not "we simulate everything faster." It is: we prevent expensive programs from optimizing against the wrong electronic story. Today, most computational tools rank candidates as if the target picture were already settled. Prometheus works upstream — on whether the target-state model itself is decision-grade. That removes a category of failure that no existing tool addresses.

For R&D leadership

Prometheus fits between target model construction and ligand or perturbation screening. It answers: is this a valid model for decision-making? Is this target state robust? Will small perturbations preserve the regime or flip the electronics? Are we screening compounds against something coherent, or against an artifact? That is extremely legible to a team that has lost months to a false mechanistic lead.

🛡 Three Expensive Failure Modes Prometheus Reduces

These are not edge cases. They are the reason metalloenzyme programs routinely run longer and cost more than anticipated. Each one is addressable earlier than it typically gets addressed today.

False mechanistic commitment

Teams spend months on a story built on the wrong electronic state. The model converged — it just converged to the wrong basin. The downstream SAR, assay design, and compound prioritization all drift from the start.

Prometheus reduces this by validating whether the modeled state is reproducible and sector-coherent before chemistry begins.

Screening against artifacts

Thousands of compounds can be ranked against a metal-center model that is truncated, unstable, or multi-basin in a way the standard workflow never surfaces. The hits look real. The scaffold was the problem.

Prometheus classifies the model before large-scale screening — catching scaffold artifacts and fragment inadequacy early.

Late discovery of target instability

Programs often find too late that a perturbation — a protonation change, a redox shift, a ligand substitution — changes the active-site electronics so much that earlier SAR no longer transfers. The series has to be restarted.

Prometheus maps when perturbations preserve regime versus induce selection into a new electronic family — before the medicinal chemistry is designed.

📂 Four Categories That Matter Commercially

Each category has a different commercial implication. Prometheus has demonstrated the ability to distinguish all four — across Fe, Zn, and Cu biological systems validated with multiple independent seeds.

Category 1 · Stable

Decision-grade target models

FePorphyrin FeII ls · Zn_CA2 minimal · Zn_CA2 imidazole

Sector-clean, reproducible, single-family. Classification survives scaffold enrichment from donor-only fragment to full imidazole coordination environment.

Executive translation: Prometheus identifies target models robust enough to support downstream screening with confidence. You know what you are optimizing against.

Category 2 · Coherent Open-Shell

Harder systems that are still trustworthy

Cu_SOD_minimal · d⁹ doublet · σ = 1.70 kcal/mol

Broader ensemble than closed-shell controls, but still sector-clean and single-family. Open-shell does not mean unusable — it means the bar is higher and Prometheus can still clear it.

Executive translation: Prometheus is not limited to easy closed-shell cases. It can classify realistic open-shell metal centers and tell you when they are still trustworthy enough to guide work.

Category 3 · Multi-Basin

Systems that look simple but are genuinely ambiguous

Zn_squareplanar · σ = 43.29 kcal/mol · scaffold artifact

Sector-clean but multiple competing orbital families. Not a bad run — an intrinsically ambiguous scaffold. Without detection, this becomes the foundation for a misleading screening campaign.

Executive translation: Prometheus flags targets where the electronic landscape is genuinely multi-basin before teams over-interpret a single optimized state and build chemistry around it.

Category 4 · Pathologic

Models too truncated to support any conclusion

ENG-001 · ENG-002 · ENG-003 · Fe branch constraints

Sector escape or spin escalation despite strong enforcement. The fragment is electronically insufficient — any result would be an artifact. Most tools never surface this; they just return a number.

Executive translation: Prometheus tells you when a model should not be used for decision-making at all. That is the most commercially valuable thing a quality-control tool can say.

⚡ The Challenge Standard Methods Cannot Fully Resolve

The active sites of P450s, SOD, carbonic anhydrase, and many other drug targets contain transition metals with electronic regimes that can be difficult to classify reliably using conventional workflows alone. When the target-state model is wrong, downstream ranking and optimisation can drift onto the wrong mechanistic story.

The gap in current workflows

Standard simulation finds the lowest energy state — it does not characterise the full set of accessible electronic configurations, or detect whether the model is sitting in the correct basin at all. For open-shell metallocenters, that gap matters.

What Prometheus adds

A reproducible, sector-audited ensemble sweep that classifies the electronic landscape — stable, coherent open-shell, multi-basin, or model-pathologic — before any synthesis decision is made. Not a replacement for existing workflows. A quality-control layer on top of them.

📐 The Prometheus Classification System

Prometheus does not merely find energy minima. It sorts metallocenters into mechanistically distinct regimes — and identifies when a fragment model is too truncated to support a trustworthy classification.

01

Rigid Stability

Low ensemble dispersion, single-family basin, sector-clean across all seeds. The model is decision-grade and reproducible.

typically sub-kcal/mol σ
02

Coherent Open-Shell

Broader ensemble dispersion than closed-shell controls, but still sector-clean and single-family across seeds. Characteristic of realistic open-shell transition-metal targets.

broader but still coherent
03

Multi-Basin

Sector-clean but multiple competing orbital families. Scaffold geometry is the causal variable — not sector contamination. Indicates a more complex electronic environment.

large dispersion / multiple families
04

Model Pathology

Sector escape or spin escalation despite strong enforcement. Fragment model is insufficient to support a trustworthy landscape classification.

engineering constraint
Validated Results · March 2026

Locked benchmark and diagnostic
canonical results

Every locked result below is reproducible across multiple seeds and accompanied by full sector and energy decomposition. Diagnostic controls are included explicitly where they clarify the classification framework.
System Metal / Config σ (kcal/mol) Seeds Classification Status
FePorphyrin_FeII ls P450 / heme model Fe²⁺ d⁶ low-spin 0.3375 5 Rigid Stability ● LOCKED
Zn_CA2 minimal Carbonic anhydrase Zn²⁺ d¹⁰ tetrahedral 0.0933 9 Rigid Stability ● LOCKED
Zn_CA2 imidazole Full His coordination shell Zn²⁺ d¹⁰ + 3 imidazole 0.4367 5 Rigid Stability ● LOCKED
Cu_SOD_minimal Superoxide dismutase Cu²⁺ d⁹ doublet 1.7035 5 Coherent open-shell ● LOCKED
Zn_squareplanar Scaffold geometry control Zn²⁺ d¹⁰ D4h artificial 43.29 5 Multi-basin (scaffold) ◆ LOCKED DIAGNOSTIC

All results: 20-qubit penalized VQE  ·  LANL2DZ basis  ·  GPU-accelerated (L40S)  ·  Full sector audit per run

🔬 How It Works

A quality-control layer, not an optimizer. Prometheus answers a different question from standard simulation: is this electronic model trustworthy enough to guide chemistry?

01

Fragment model construction

First-shell metallocenter geometry built from crystallographic references. Each atom verified; engine patched and backed up before any run.

02

Penalized VQE multi-seed sweep

Independent VQE optimisations across multiple seeds with N-sector and Sz-sector enforcement. 20-qubit operating point validated across all targets.

03

Sector audit per seed

Every run: full energy decomposition, ⟨N⟩, ⟨Sz⟩, dom_p, dominant bitstring. Penalty contributions explicitly separated from physical energy.

04

Landscape classification

σ across seeds, basin count, dominant determinant consistency. Result locked only when all metrics are internally consistent across the full ensemble.

05

Realism-survival testing

Classification re-run with an enriched scaffold. For Zn_CA2: donor-only minimal → full imidazole coordination shell. Same regime confirmed. Not a toy-fragment result.

What makes a result trustworthy?

Every locked Prometheus result meets all five criteria simultaneously — not a subset.

Sector clean (⟨N⟩, ⟨Sz⟩) ±0.1 tolerance
Dominant determinant probability dom_p > 0.99
Same dominant family all seeds
Penalty contribution audited decomposed per run
Realism-survival tested verified on Zn branch

"Prometheus is not merely finding answers. It is identifying when a fragment model is too truncated to support trustworthy landscape classification."

Research Roadmap

The Zn and Fe biological benchmarks are closed. The Cu²⁺ SOD branch is locked. The next step — a controlled perturbation panel — is where Prometheus becomes a regime-mapping tool, not just a classifier.

✓ Complete

Biological Benchmark Ladder

Four locked results across Fe, Zn, and Cu active sites. Classification ladder established. Realism-survival extension confirmed for the Zn branch — minimal fragment and full imidazole scaffold give identical regime classification.

◆ Active

Cu²⁺ SOD Perturbation Panel

One controlled coordination-shell perturbation on the locked Cu_SOD_minimal benchmark. Goal: show when a medicinally relevant metal center preserves its electronic regime under perturbation — and when it does not.

Stop optimizing against models you haven't validated.

Prometheus is available for a small number of partner engagements in 2026. If your program involves a metal-centered target and you need to know whether the working electronic model is stable, coherent, multi-basin, or too truncated to trust — before you commit to large-scale screening or medicinal chemistry — we should talk.

Typical engagement: sector-audited landscape report for your target system, delivered in days.