RosettaCommons / RosettaCommons/RFdiffusion
Zero-shot mutation effect prediction on protein stability using RFdiffusion (Similar to RFjoint in RFpaper)
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- Dominant language
- Python
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Description
Hi RFdiffusion team,
I came across the paper "Zero-shot mutation effect prediction on protein stability and function using RoseTTAFold", where RFjoint was used for zero-shot mutation effect prediction.
I was wondering:
- Is it possible to perform zero-shot mutation effect prediction on protein stability using RFdiffusion?
- If not currently supported, would it be feasible to extend RFdiffusion for such a task?
- Do you have any recommendations on how one might adapt RFdiffusion for this purpose?
- Would you suggest using RFjoint instead for such analyses, or is there a better alternative?
I appreciate any insights you can provide on this! Thanks for your amazing work on RFdiffusion.
Best regards,
Ali
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Research direction
The issue names no files, tests, or entry points and asks whether RFdiffusion can support zero-shot mutation effect prediction. Start by reviewing the cited RFjoint and RoseTTAFold work alongside the repository's existing prediction workflows. A concrete implementation target and maintainer guidance would be needed before defining what done means.
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Assessment
- Tech stack
- python
- Domain
- bioinformatics, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100