microsoft / microsoft/foldingdiff
Minimum number of structures to train model
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 568
- Forks
- 74
- Avg merge
- 20h 2m
- Merged PRs (30d)
- 1
Description
Hello,
I was performing some tests and it seems that there is a minimum number of protein structures to train a model. I have tested datasets with 2 through 10 structures (similar domains) and the pipeline runs starting at 10 structures.
Is it correct? or is there something I am not considering?
Thanks
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
The issue names no files, tests, or entry points. Reproduce training with datasets containing 2 through 10 similar-domain protein structures, then trace the training pipeline to determine whether the ten-structure minimum is intentional; done means the behavior is explained and any needed correction is identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- bioinformatics, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100