RosettaCommons / RosettaCommons/RFdiffusion
Looking for methods on to create n-terminals that package more kb in a viral capsid using RFDiffusion.
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.1k
- Forks
- 644
- PR merge metrics
- No merged PRs in 30d
Description
Thank you for this software. I have been using motif scaffolding and binder design. However, my main focus is to create n-terminals that would potentially package more kb preferably >5kb, to a viral protein that normally would only package 4.7. Is there a way?, and I want to disclose that I am not an avid coder, but I am learning. I want to use RFDiffusion to create n-terminals that package more kb in a viral capsid. How would I go about creating something like this using RFDiffusion? Do I have to re-create and train model myself? Or is there an option for this specific direction with this code? Please let me know your thoughts and advice, I appreciate it.
Heather
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names RFdiffusion's motif-scaffolding and binder-design workflows but no file, test, or entry point. Start by reviewing those existing workflows and the project's documentation to determine whether designing N-terminal capsid proteins is supported; done would be a clear feasibility answer and, if applicable, a defined implementation or training plan.
Written by the indexing model from the issue text.
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
- 15/100