Pharma & Life Sciences
Accelerate drug discovery with quantum-assisted molecular simulation
The Challenge
Drug discovery requires exploring vast chemical search spaces, simulating molecular interactions, and screening millions of candidates. Classical compute hits exponential walls in binding affinity prediction and conformational analysis.
Oenerga Solution
- •Q-Bridge for Molecular Optimization: Quantum-assisted candidate ranking and binding affinity optimization. Explore exponentially large chemical spaces efficiently.
- •PhotonCore for Screening: Massively parallel similarity searches and descriptor calculations. Accelerate virtual screening pipelines.
- •Hybrid Quantum-Classical: Seamlessly combine quantum optimization with classical molecular dynamics for end-to-end workflows.
Pilot-Reported ROI
Pilot-reported: Quantum-assisted candidate ranking reduced time-to-first-hit by 5–10× on representative datasets.
Performance based on Oenerga internal benchmarks and pilot deployments. Results vary by workload.
Use Cases
Molecular Discovery
Quantum-assisted lead optimization and scaffold hopping
Virtual Screening
High-throughput docking and similarity search
Protein Folding
Energy landscape exploration with hybrid compute
Biomarker Analysis
Real-time genomic data processing with PhotonCore
Accelerate Your Discovery Pipeline
See how Oenerga quantum optimization reduces time-to-candidate in your workflows.
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