Visualize RFdiffusion outputs and QC backbone designs in PyMOL.
npx skills add https://github.com/ANaka/claudemol --skill rfdiffusion-viz
Please help me install this Agent Skill. Skill: rfdiffusion-viz Source: https://github.com/ANaka/claudemol/tree/main/claude-plugin/skills/rfdiffusion-viz Command: npx skills add https://github.com/ANaka/claudemol --skill rfdiffusion-viz
Visualizes RFdiffusion outputs and QC backbone designs in PyMOL for straightforward structural assessment and comparison.
Load a design PDB into PyMOL and start trajectory playback to visualize the diffusion process from noise to final structure.
High-intent search queries and answers about installing and using this skill.
You can perform batch QC by tiling multiple RFdiffusion designs in a grid within PyMOL, enabling rapid structural screening and efficient comparison of many backbone designs at once.
Yes, you can apply contig region coloring in PyMOL to distinguish designed versus fixed regions and motif regions, allowing clear structural comparison of RFdiffusion backbone outputs.
Yes, the workflow supports self-consistency checks against AlphaFold2 predictions to validate RFdiffusion design quality by comparing the generated backbone structures with predicted models.
The best way to inspect single RFdiffusion designs is by loading the specific design PDB into PyMOL for straightforward structural assessment, trajectory playback, and region coloring.
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