Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

About the possibility of creating decoys (low quality models) #59

Open
imabio opened this issue Jan 30, 2023 · 0 comments
Open

About the possibility of creating decoys (low quality models) #59

imabio opened this issue Jan 30, 2023 · 0 comments

Comments

@imabio
Copy link

imabio commented Jan 30, 2023

Hi!

First, thank you for all the time and effort put into making OmegaFold such an aswesome tool.

We are implementing OmegaFold as part of an AI-based pipeline for NMR resonance assignment and we would like to force OmegaFold to produce low quality models to be used as decoys (to test the robustness of the pipeline in those cases in which OmegaFold encounters a sequence poorly described by its training dataset). So, I would like to kindly ask:

  • Is there any way to make OmegaFold yield low-quality models mimicking the behavior of facing sequences poorly described by the model?

  • Alternatively, is there any way to make OmegaFold compute the pLDDT on a user-provided pdb file (or any other scoring function that could be used to rank conformations)? This way, we could create random conformations and rank them with OmegaFold to get a sample of increasingly worse decoys.

Thank you very much for any insight you could offer on this.

Kind regards.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant