
Terray Therapeutics
Terray Therapeutics is revolutionizing small molecule drug discovery through a platform that integrates wet lab science and AI, enhancing speed, cost efficiency, and success rates.
Terray Therapeutics has redefined the approach to small molecule drug discovery by merging experimental science with advanced computational methods. This unique combination leverages high-quality data at scale, positioning AI as a critical component in therapeutic innovation. Specifically designed to enhance the speed, cost, and success rate, Terray’s platform features a comprehensive dataset with over two billion unique target-ligand binding measurements, offering unparalleled scale. The integration of precise data collection and high-resolution quantitative analysis supports accurate predictions of molecular properties through deep learning models. This approach allows for closed-loop iteration cycles of less than a month, significantly accelerating the exploration of chemical space and the discovery of viable small molecule candidates.
Terray’s platform stands out for its ability to rapidly prioritize data-rich targets, enabling simultaneous evaluation of multiple disease pathway interventions. Initially focusing on immunology, Terray extends its groundbreaking methodologies to diverse therapeutic areas in collaboration with major pharma and biotech partners. This strategic integration enhances the potential for novel therapeutic discoveries, underscoring the company’s role in advancing precision medicine.
Pros:
- Innovative fusion of wet lab science and AI
- Extensive dataset for comprehensive analysis
- Accelerated discovery cycles
- Broad therapeutic application possibilities
Cons:
- Highly specialized field
- Dependency on advanced computational infrastructure
- Potentially high research and development costs
Features:
- Unparalleled Scale and Speed - Over 2 billion unique measurements with 300 million added monthly, facilitating rapid drug discovery.
- Precise Data - High-resolution quantitative analysis supported by multiple data points per measurement for accurate predictions.
- Closed-loop Iteration - Monthly design-make-test-analyze cycles expedite the discovery process.
- Data Rich Target Prioritization - Efficiently identifies potent molecules, optimizing intervention strategies across various therapeutic paths.
Integrations:
- Not Disclosed - Not Disclosed
Pricing:
- Not Disclosed - Pricing model and tiers are not publicly available.
Implementation Timeline
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Onboarding
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Sandbox
No
Compliance
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