sokrypton / sokrypton/ColabFold
Peptide structure prediction
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Description
Hi everyone, I aim to predict the 3D structure of peptides (with sequence length < 100 amino acids). I know ESMFold is faster than many other structure prediction tools, but I’m unsure which method achieves the highest accuracy for this specific peptide size range (< 100 aa). Could anyone share insights or recommendations on the most accurate structure prediction tools/methods for short peptides (< 100 aa)?
Contributor guide
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
No file, test, or entry point is named. Start by clarifying whether this is a request for comparative guidance or an implementation change, then identify the short-peptide evaluation criteria and intended ColabFold workflow. Done would require a documented, evidence-based recommendation rather than a code change.
Written by the indexing model from the issue text.
Assessment
- Domain
- bioinformatics
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100