Information Panel for job 64fb8a0dde6638795f30c473

Service: RFdiffusion-v1

Status: completed

Runtime: 3m

Data & Visualizations

Visualizations for the output job data.


Rank MPNN Score RMSD Mean pLDDT Max PAE pTM

Our RFdiffusion implementation predicts protein structures and runs them through ProteinMPNN to generate 200 sequences. The best 5 ProteinMPNN sequences (sorted by MPNN Scores), are then passed through AlphaFold2.


Important Metrics


Higher values are correlated with greater accuracy.

Lower ProteinMPNN scores are correlated with greater accuracy.

protein diffusion time-steps animation

2D animation of the protein diffusion process over each timestep.

Predicted Aligned Error (PAE)



ProteinMPNN Predicted Sequences

RFdiffusion only predicts the backbone of the protein. Inverse folding models like ProteinMPNN are required to predict sequences that can best fold into the RFdiffusion predicted backbone.

NOTE: Lower ProteinMPNN scores are better.

AI models produce responses and outputs through sophisticated algorithms and learning techniques, which may result in inaccuracies. By engaging with this model, you accept responsibility for any potential harm resulting from its responses or outputs.

Config

The configuration that was used for this job.


Configuration Setting Set Value
Binder / Scaffolding Structure none
Contig Input 240-240
Hotspots (optional) none
Symmetry tetrahedral
Timesteps 100

Files

The following files were either used as input(s) or produced by this job.


Input Files

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Output Files

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Citations

Please cite the following if you wish to publish data produced from this job.

Neurosnap Inc. - Computational Biology Platform for Research. Wilmington, DE, 2022. https://neurosnap.ai/.


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