🦀 ClawHub
Refua
by @jbenjoseph
Fold and score biomolecular complexes and optionally profile ADMET to prioritize molecules in drug discovery pipelines via the refua-mcp server.
TERMINAL
clawhub install refua📖 About This Skill
Skill: Refua
Summary
Refua is used in drug discovery to computationally fold and score biomolecular complexes (e.g., protein–ligand/protein–protein) and optionally profile ADMET, helping prioritize which molecules to synthesize and test first in a drug discovery pipeline.This skill runs and connects to the refua-mcp MCP server, which exposes Refua’s “unified Complex API” as MCP tools for:
Clawdbot supports MCP natively, so the only requirement is running this MCP server and calling its tools. (github.com)
When to use
Use this skill when you need to:Do NOT use this skill when:
Installation & assets (operator steps)
1) Install Refua + refua-mcp
Install Refua (CPU or CUDA), then install the MCP server package: (github.com)pip install refua[cuda]
pip install refua
pip install refua-mcp2) Optional: enable ADMET
ADMET tool support is optional and requires an extra: (github.com)pip install refua[admet]3) Download model/assets
Boltz2 and BoltzGen require model/molecule assets. Refua can download them automatically: (github.com)python -c "from refua import download_assets; download_assets()"Default asset locations + overrides: (github.com)
~/.boltz by default boltz.cache_dir if needed
boltzgen.mol_dir if neededRunning the MCP server
Start the server using the module entrypoint: (github.com)python3 -m refua_mcp.server