Data & Visualizations
Various data visualizations for this jobs output data.
Predicted Sequences
NOTE: For mean log-likelihood, higher values (closer to zero) tend to be better, while for perplexity lower values (closer to zero) tend to be better.
Sequence Statistics
General statistics related to the predicted sequences above.
Amino Acid Probabilities
Calculated amino acid probabilities based on the predicted sequences.
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 |
---|---|
Designed Chain | B |
Input Structure | 631062463925cc3923cc8273.pdb |
Number Sequences | 100 |
Sampling Temperature | 0.10000000149011612 |
Training Mode | false |
Files
The following files were either used as input(s) or produced by this job.
Output Files
Download all as a zip file:
Citations
Please cite the following if you wish to publish data produced from this job.
Hsu, Chloe, et al. “Learning Inverse Folding from Millions of Predicted Structures.” bioRxiv, 1 Jan. 2022, www.biorxiv.org/content/10.1101/2022.04.10.487779v2.
Neurosnap Inc. - Computational Biology Platform for Research. Wilmington, DE, 2022. https://neurosnap.ai/.