dr
DrugAgent
Multi-agent programming for AI-aided drug discovery
AT A GLANCE
Intended use: Studying automation of machine-learning programming for drug-discovery tasks.
Pricing model: Free.
Public-source review: . Documentation checked; product performance was not tested.
LIMITATIONS
- This listing points to the research paper; it does not establish a ready-to-use hosted product.
- The documented scope is programming ML workflows, rather than a complete experimentally validated drug-discovery service.
FEATURES
- ▸ Combines domain-expertise acquisition with machine-learning workflow programming.
- ▸ The paper demonstrates an ADMET prediction workflow using specialized agent roles.
What it is
A research framework that coordinates LLM agents to build machine-learning workflows for drug discovery, from data preparation to model implementation and evaluation.