DTIGN (Drug-Target Interaction Graph Network)
Proprietary AI model for bioactivity prediction using graph neural networks, outperforming nine leading methods by an average of 27.03% in bioactivity prediction correlation.
What it does
Proprietary AI model for bioactivity prediction using graph neural networks, outperforming nine leading methods by an average of 27.03% in bioactivity prediction correlation.
- molecular discovery and compound identification
- bioactivity prediction
- natural compound screening
- nutraceutical formulation development
- therapeutic drug candidate development
- Category
- Drug discovery and biotech
- Users
- pharmaceutical researchers, nutraceutical brands, life science researchers
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
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Security and compliance
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