Cloud-native simulation platform using graph neural networks to predict metabolic stability and toxicity of novel compounds.

Market Catalyst & News Trigger

"Proximal Ventures raises fund to back AI in drug development"

The Workflow Friction

Biotech startups lack affordable, high-fidelity simulation tools to predict drug-metabolite interactions before wet-lab testing.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

Web interface accepting SMILES strings to return predicted metabolic half-life and toxicity scores via GNN model.

Recommended Developer Tech Stack

• PyTorch
• Dask
• FastAPI