MolClaw: AI Agent for Drug Molecule Evaluation and Optimization
MolClaw is an AI agent that autonomously evaluates, screens, and optimizes drug molecules. It utilizes a three-tier hierarchical skill framework that encompasses over 30 specialized resources and 70 distinct skills. This structure features tool-level skills for atomic tasks, workflow-level skills that create validated pipelines with quality assurance and reflection, and a discipline-level skill that provides scientific principles for planning and verification. MolClaw effectively tackles the complexity of coordinating numerous specialized tools in multi-step workflows, an area where existing AI agents often fall short. It is launched alongside MolBench, a benchmark for molecular screening tasks. This research is available on arXiv with the identifier 2604.21937.
Key facts
- MolClaw is an autonomous agent for drug molecule evaluation, screening, and optimization.
- It unifies over 30 specialized domain resources.
- The agent uses a three-tier hierarchical skill architecture with 70 skills.
- Tool-level skills standardize atomic operations.
- Workflow-level skills compose validated pipelines with quality check and reflection.
- A discipline-level skill supplies scientific principles for planning and verification.
- MolBench is a benchmark for molecular screening tasks introduced alongside MolClaw.
- The research is published on arXiv with identifier 2604.21937.
Entities
Institutions
- arXiv