How to generate cyclic backbone with rfdiffusion2
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Quiet
- Tech stack
- python
- Domain
- bioinformatics, machine-learning
Research direction
Start with rf_diffusion/run_inference.py and trace how contigmap.has_termini, inference.denoiser, and inference.cyc_chains are parsed and applied. Check the cyclic-binder inference path and its examples or configuration documentation; done means documenting the complete required parameters or confirming a reproducible configuration that generates a cyclic binder in chain B.
Written by the indexing model from the issue text.
Description
I run rf_diffusion/run_inference.py to generate a binder in chain B for target protein in chain A with parameters contigmap.has_termini=[true, false] inference.denoiser=cyclic inference.cyc_chains=['B']. but I still cannot get a cyclic binder. is there any othre necessary parameters for cyclic binder?
- Dominant language
- Python
- Stars
- 443
- Forks
- 70
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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