platform. The CPU version is significantly slower than the GPU version, so large complexes realistically need an NVIDIA GPU.
Who it is forA structural biologist who wants a quick open-source structure model of a complex before setting up experiments.
The problemGetting a structure prediction for a complex usually means a hosted service, a queue or a closed model.
The outcomePredicted complex structures written by the latest Boltz model on your own machine.
What you need first
- Python in a fresh environment and pip
- An NVIDIA GPU for the [cuda] install; CPU-only works but is significantly slower
- Input YAML files describing the biomolecules (format in docs/prediction.md)
- Network access for the optional MSA server (--use_msa_server)
Steps
- Create a fresh Python environment, as the README recommends
- Install with
pip install boltz[cuda] -U(drop [cuda] on CPU-only or non-CUDA GPU hardware) - Write an input YAML file describing the biomolecules you want to model, following docs/prediction.md
- Run
boltz predict input_path --use_msa_serverwith input_path pointing at the YAML file - Check every option with
boltz predict --help
Prompt for your agent
Using jwohlwend/boltz, install it in a fresh environment, write an input YAML for <protein sequences and ligands> following docs/prediction.md, and run `boltz predict input_path --use_msa_server`. Tell me where the predicted structures were written.
Caveat. Predictions are model outputs, not experimental structures; validate anything you act on.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for jwohlwend/boltz and "Predict a protein complex structure with Boltz"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
Every Monday: the 5 hottest repos and exactly how to use them. Free, one email a week, unsubscribe anytime.
Get them freeShare: X LinkedIn Hacker News Email Copy link
Third-party repos we don't own. AI-written use cases can be wrong. Disclaimer