Partnerships and Engagements
OpenEye actively seeks partnerships and engagements with like-minded organizations looking to advance today's molecular-design technologies.
Our partners include:
- Specifica - in antibody discovery
- Gaussian - in quantum modeling
- CCDC - protein-ligand docking with GOLD
Together, we create new methodologies, integrate proprietary methods, secure intellectual property (IP), and more.
To inquire about working with OpenEye on your endeavors, please contact us at info@eyesopen.com.
ROCS X: AI-Enabled Molecular Search Unlocks Trillions
Webinar: OpenEye's Free energy prediction for drug discovery: Ideas at breakfast, discoveries by lunch
Science Brief: Binding Free Energy Redefined: Accurate, Fast, Affordable
Webinar: ML-Enabled integration of affinity prediction and lead discovery: 3D-QSAR
Conversations at CUP: Geoff Skillman & Charlotte Deane
Webinar: OpenEye's Free energy prediction for drug discovery: Ideas at breakfast, discoveries by lunch
Science Brief: Binding Free Energy Redefined: Accurate, Fast, Affordable
Webinar: ML-Enabled integration of affinity prediction and lead discovery: 3D-QSAR
Conversations at CUP: Geoff Skillman & Charlotte Deane
Resources
Glimpse the Future through News, Events, Webinars and more
News
ROCS X: AI-Enabled Molecular Search Unlocks Trillions
BOSTON, OpenEye miniCUP—Sept. 25, 2025—Cadence Molecular Sciences (OpenEye), a business unit of Cadence (Nasdaq: CDNS), announced today at miniCUP Boston, the launch of ROCS X, an AI-enabled virtual screening solution that allows scientists to conduct 3D searches of trillions of drug-like molecules.
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Webinar
Webinar: OpenEye's Free energy prediction for drug discovery: Ideas at breakfast, discoveries by lunch
Webinar: OpenEye's Free energy prediction for drug discovery: Ideas at breakfast, discoveries by lunch We are continuing our 2025 miniWEBINAR series with our November session led by Chris Neale, Ph.D., who leads the molecular binding affinity solution group at OpenEye, Cadence Molecular Sciences. His expertise and interests include method development for structure-based drug design, cellular signal transduction, and uncertainty quantification. Chris is also an editorial board member at the Biophysical Journal.
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