17. Does QuantumCURE Pro dock compounds directly on a quantum annealer? (It doesn’t make sense with NISQ-era errors, right?)
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No. Running full molecular docking directly on today’s NISQ (Noisy Intermediate-Scale Quantum) annealers would be impractical: the systems are noisy, qubit counts are limited, and realistic docking problems are huge.
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QuantumCURE Pro™ does not perform the full docking calculation on the D-Wave box. Instead, it uses the annealer in a hybrid, very targeted way.

Let me explain:
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1.Classical engine does the docking. The actual docking—scoring, pose search, binding evaluation all runs on a classical Vina-style engine on CPUs/GPUs.This is where the heavy numerics live.
2.The quantum annealer acts as an entropy co-processor
 QuantumCURE Pro submits compact QUBO-style problems to the annealer.
 The D-Wave system returns samples from its physical energy landscape.
 Those samples are turned into entropy packets / seeds that influence how the classical engine explores pose space.
3.Why this matters in the NISQ era. Because the annealer uses quantum effects (like tunneling) to explore rugged landscapes, its samples are   qualitatively different from classical PRNG noise. By injecting these quantum-derived seeds into the classical search, QuantumCURE Pro can:

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  Reduce redundant, “same-basin” simulations
 Encourage exploration of less obvious regions of the energy landscape
 Surface poses and scaffolds that a purely algorithmic search might consistently miss

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So the design is intentional:

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Use classical hardware for what it’s already great at (fast docking), and use the quantum annealer as a specialized entropy + sampling engine—not as a full-blown, end-to-end docking box. That way, QuantumCURE Pro benefits from quantum behavior without being handcuffed by NISQ-era error rates and qubit limits.

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18. How many “randomness modes” (entropy recipes) does QuantumCURE Pro offer? Are we forced to use QRNGs?
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No—you are not forced to use QRNGs. QuantumCURE Pro is designed to be flexible and comparative. You can run fully classical, fully quantum-seeded, or any mix in between.
Right now the platform supports multiple entropy sources, with more on the way:

Classical PRNG Mode

Standard high-quality pseudo-random number generators.
Baseline mode
Useful for reproducibility and comparison
Lets you see exactly what quantum entropy is buying you.

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ANU Online QRNG Mode

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• Quantum randomness streamed over the internet from ANU’s public QRNG service.

• Great for users who don’t have local hardware

• Provides real quantum entropy without plugging anything into your USB port.

Local USB QRNG Mode

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• Hardware QRNG device on your own machine.

• Low-latency, high-throughput entropy

• Ideal for heavy users and long docking campaigns

• Preferred mode in my own lab.

D-Wave Annealing Mode

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• Quantum annealer seeds derived from QUBO runs.

• Used as structured, quantum-derived entropy

• Guides classical docking into different regions of pose space

• Tagged separately for Entropy-Aware Lead Discovery.

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(Planned) IonQ / trapped-ion QPU Entropy

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Future integration to harvest entropy traces or structured samples from trapped-ion hardware

Will be treated as its own labeled entropy profile.

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(Planned) Google / other QPU Entropy

Additional QPU backends will be added as the ecosystem matures

Again, each with its own tag so you can filter and compare results by entropy source.

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(Planned) PCIe QRNG Cards

 

• High-bandwidth, low-latency quantum entropy directly on a workstation or server

• Ideal for large, ongoing screening campaigns.

In practice, you can think of these as entropy recipes:

·Pure PRNG
·Pure QRNG
·Pure annealing
·Or hybrid mixes (e.g., “70% PRNG, 30% D-Wave seeds” for experimental runs)

 

The point of QuantumCURE Pro is not to force you into quantum hardware—it’s to let you compare classical vs QRNG vs annealing vs future QPU entropy, and then use Entropy-Aware Lead Discovery to see which sources are actually surfacing the most interesting, lab-ready compounds.
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19. Does QuantumLaso offer a Fellowship Program? Who is it for?
Yes. QuantumLaso runs a Fellowship-style program for serious researchers and advanced learners who want to work hands-on with QuantumCURE Pro™ and the broader QuantumLaso ecosystem.
The program is aimed at people with strong scientific or technical backgrounds, including (but not limited to):
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•      PhD students and postdocs

•      MD / DO clinicians with an interest in computational drug discovery

•      Master’s-level researchers in chemistry, biology, physics, or data science

•      Computational scientists, engineers, and AI/ML practitioners

•      Independent researchers who can operate at that level

• The public-facing entry point for this is the Citizen Scientist/Fellowship portal (see the main menu at CitizenScientist.org), where qualified participants can:

•      Get access (or guided exposure) to QuantumCURE Pro™

•      Run real docking and entropy-aware simulations

•      Contribute to large-scale screening campaigns

•      Help refine pipelines and analysis methods around Zaban glyphs and Entropy-Aware Lead Discovery

• The core idea is simple: instead of keeping this technology behind closed doors, QuantumLaso invites capable people—inside or outside traditional academia, to “kick the tires” on a frontier quantum–AI drug discovery engine and contribute to the work.

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20. How are IC₅₀, Bemis–Murcko scaffolds, and VdW clashes calculated inside QuantumCURE Pro?
This is where I draw a clean line between standard, transparent methods and my proprietary glue.

     With that said:
I      C₅₀ (Half-maximal inhibitory concentration) QuantumCURE Pro handles IC₅₀ in two main ways:
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1.Predicted IC₅₀
After docking, each compound has features like binding affinity, pose quality, interaction profile, etc.
These features are fed into machine-learning style models (and logistic curve fits in the Dose–Response Analyzer) to estimate an IC₅₀ value.
The platform then labels each compound with a potency class (e.g., extremely potent, moderate, weak) and plots a sigmoidal dose–response curve in the UI.
2.Imported / experimental IC₅₀
If you have real lab data, you can import concentration–response pairs.
QuantumCURE Pro fits a 4- or 5-parameter logistic curve to that data and computes IC₅₀ from the fitted curve.

 

This keeps experimental IC₅₀ separate from predicted IC₅₀ but visible together in reports and exports. The exact model weights and internal heuristics are proprietary, but the math is based on standard dose–response and curve-fitting methods.
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Bemis–Murcko Scaffold Analysis
For scaffold analysis, QuantumCURE Pro uses well-known cheminformatics logic:
Each molecule is parsed into a graph (atoms and bonds).
The core framework (ring systems + linkers) is extracted, stripping off side chains and decorations.

 

This gives the Bemis–Murcko scaffold, which is used to:

 

• Group compounds into chemotypes

• Track which scaffolds keep reappearing as hits across runs

• Help users recognize “families” of promising molecules

• Technically, this is standard Bemis–Murcko decomposition using cheminformatics tooling—what’s unique is how it’s tied to entropy tags, IC₅₀, and glyphs in the UI and exports.

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Van der Waals (VdW) Clash Analysis
VdW clash analysis is used to judge whether a pose is geometrically reasonable:
After docking, QuantumCURE Pro inspects the protein, ligand complex geometry.
It checks inter-atomic distances against typical van der Waals radii.
When atoms are unrealistically close (beyond a threshold), they’re flagged as VDW clashes.

The system can then:

 

• Penalize clashing poses in the scoring layer

• Surface “clean” poses with minimal clashes

• Show clash metrics as part of the Lab-Ready Score and Forensics cards

• Again, the underlying physics (VdW radii, distance checks) is standard; the proprietary part is how these clash metrics are combined with docking scores, IC₅₀ predictions, glyphs, and entropy provenance to decide which compounds float up toward the Golden List.

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Short version:
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IC₅₀ is computed via standard dose–response math plus ML models,
Bemis–Murcko is classic scaffold extraction,
VdW clashes are distance-based geometry checks, and QuantumCURE Pro’s secret sauce is how all of these are fused with entropy and glyphs to decide which compounds truly matter.
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21. Do you offer a free plan?
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There is no permanent free tier, but I do offer a way to kick the tires without paying.

• You can sign in with a Guest Account and:

• Run docking on a limited number of compounds

• Export those results in standard formats (e.g., PDB/PDBQT/SDF)

• Load and visualize them in tools like PyMOL at no cost

This guest access is free until January 15, 2026, with export limits in place to prevent abuse. It’s designed so you can see the engine in action, inspect real complexes in PyMOL, and decide whether QuantumCURE Pro belongs in your serious workflow, before spending a dollar.
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22. Do you offer a private-label / white-label version?
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Yes. QuantumCURE Pro™ can be offered as a private-label (white-label) solution for organizations that want:

 

Their own branding on the interface

1. Custom workflows, integrations, or data pipelines

2. A dedicated instance for internal teams or clients

For private-label / white-label arrangements, licensing, and deployment details, please contact: contact@quantumlaso.com.
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23. Can QuantumCURE Pro run entirely on a local machine?
Short answer:

No—not today. QuantumCURE Pro is a cloud-first platform.

 

The core engine lives in the cloud:

 

• The main databases

• The Vina-style docking workers

• The entropy buckets (PRNG, QRNG, D-Wave, etc.)

 

These pieces need shared, scalable infrastructure and are not shipped as a single offline binary.
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However:
The UI layer can be compiled to run locally (as a desktop-style app or local web client).
A powerful local machine—especially an NVIDIA “Spark” class workstation or similar GPU box, can be used to do heavy protein preparation, file cleanup, and preprocessing locally (e.g., protonation, grid prep, filtering), then push prepped systems to the cloud docking engine.

In practice, that means:

 

• Cloud handles: large-scale docking, entropy management, result storage.

• Local hardware can: accelerate prep and analysis, making the overall loop much faster, especially when you’re iterating on proteins and ligands all day.

• Fully air-gapped, on-prem QuantumCURE Pro would require a special enterprise deployment, not the standard product.

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24. Can QuantumCURE Pro run on any operating system?

Yes. I designed the entire system using a windows 10 platform, but QuantumCURE Pro™ is web-based, so it’s essentially OS-agnostic.
You can use it from:
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• Windows

• macOS

• Linux

• Even tablets, as long as you have a modern web browser and a solid internet connection

 

No special installation is required for the core platform, just log in through the browser. Optional local helper tools (for protein prep or visualization) may be OS-specific, but the main QuantumCURE Pro experience is fully web-delivered.
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25. Is QuantumCURE Pro just using random numbers from a computer, or is there deeper physics behind it?
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Under the hood, our quantum entropy is rooted in the same constant that defines the quantum world: Planck’s constant "h".