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QuantumCURE Pro — Drug Discovery in a Few Clicks

QuantumCURE Pro, a drug retrosynthesis and compound docking software
QuantumCURE Pro, a drug retrosynthesis and compound docking software

After countless iterations, QuantumCURE Pro is finally stable.

For the first time, I can run end-to-end drug discovery workflows—from retrosynthesis to docking and exporting—directly inside the app with only a registration. What used to take entire pharma teams, expensive platforms, and months of coordination, I can now do with just a few clicks.



Retrosynthesis

QuantumCURE Pro currently integrates the ASKCOS engine from MIT, a well-known open-source retrosynthesis platform. Without needing an external API key, the system generates:

  • Detailed synthesis pathways

  • Reagent recommendations

  • Feasibility assessments

  • Safety considerations

  • Route optimization

All of this can be exported as JSON or CSV for further analysis or record-keeping.



Docking

From a simple SMILES string, QuantumCURE Pro can dock molecules against a variety of protein targets (selectable from a pull-down menu). Users can choose between quantum, classical, or hybrid entropy modes to seed the docking process. The docking analysis includes:

  • Binding affinity prediction (kcal/mol)

  • Quantum collapse scoring

  • Protein interaction mapping

  • Drug-likeness assessment

For example:

  • SMILES: CC(=O)OC1=CC=CC=C1C(=O)O (aspirin)

  • Type: quantum | Source: QRNG

  • Binding Affinity: –3.47 kcal/mol

  • Collapse Score: 33.3

  • Glyph Generation: complete

The result is marked “completed” with a timestamp, and is immediately ready for export.


Export Capabilities

QuantumCURE Pro supports exporting:

  • Synthesis Queries

  • Synthesis Results

  • Docking Results…all in JSON or CSV formats for integration with other pipelines, databases, or AI tools.


Free Access (for Now)

At this stage, QuantumCURE Pro is free to use, running on the MIT ASKCOS retrosynthesis engine. This is an open invitation for researchers, citizen scientists, and innovators to explore how quantum-enhanced discovery can democratize access to drug design and accelerate new therapies.

QuantumCURE Pro is forming. The future of decentralized, quantum-powered discovery is no longer a concept—it’s here, running today.



Retrosynthesis (Why it Matters)


Detailed synthesis pathways

QuantumCURE Pro automatically breaks down a target molecule into step-by-step synthetic routes. Instead of manually searching textbooks or chemical patents, the system generates routes using AI pattern recognition across known reactions. What could take a chemist hours of literature search now appears in under two minutes.

Reagent recommendations

Every pathway includes a list of suggested starting materials, reagents, and solvents. Normally, identifying compatible reagents requires deep knowledge of reaction conditions. Here, the AI provides viable options instantly, giving chemists a practical head start for lab planning.

Feasibility assessments

Not every synthetic route is realistic. QuantumCURE scores each pathway on complexity, step count, and likelihood of success. This saves researchers from chasing low-probability or inefficient pathways. It’s like having a built-in expert to flag the dead ends before you waste time.

Safety considerations

The system highlights potential hazards in reactions, reagents, or intermediates. A process that might take a safety officer’s review can now be screened automatically, ensuring safer, more informed decision-making early in the design phase.

Route optimization

Among multiple possible pathways, QuantumCURE prioritizes the shortest, most efficient, and cost-effective options. Traditionally, this comparison involves trial, error, and long discussions between chemists. Here, the AI delivers an optimized choice almost instantly.


👉 Together, these features compress what once took days or weeks of chemist time into just a few minutes of processing. if you like to test the system free, send me an email: videomover@gmail.com

 
 
 

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