RosettaCommons / RosettaCommons/foundry

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bug MPNN
Dominant language
Python
Stars
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Forks
181
Avg merge
4d 4h
Merged PRs (30d)
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Description

Hello,

I have generated a Slurm pipeline using the CLI based on the Colab example to design 1000 novel proteins (80-140aa) for PPI using RFD3, followed by MPNN and RF3. The issue is that during MPNN, the RFD3 genereated sequence is concatenated with the target sequence as a single polymer and used as input to the RF validation, which overall results in a score below 0.2. The concatenated sequence produces a different 3D structural output, compared to the output of RFD3.

Is this a known bug, or is there a workaround?

Best,
Ronald

Contributor guide

Open the contributing guide

First steps

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  3. Fork the repository and make your change on a branch.
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Research direction

Start with the Slurm pipeline generated from the Colab example and trace how the RFD3-generated sequence is passed through MPNN and into RF validation. Compare the sequence and structural inputs at each stage to determine whether concatenation is intended. Done means identifying the cause of the low score and documenting a confirmed fix or workaround.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
bioinformatics, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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