Data & Visualizations
Visualizations for the output job data.
| Mean pLDDT | Max PAE | pTM |
|---|
This implementation of AfCycDesign allows users to design cyclic structures using a template or by hallucinating a structure of specified length.
Important Metrics
Higher values are correlated with greater accuracy.
2D animation of the protein design process over each iteration.
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 |
|---|---|
| Chain | A |
| Mode | Template |
| PDB or AF2 Code | 1BTL |
| Sequence Length | 10 |
Files
The following files were either used as input(s) or produced by this job.
Input Files
Download all as a zip file:
Output Files
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Citations
Please cite the following if you wish to publish data produced from this job.
Gaurav, Bhardwaj et al. "Cyclic peptide structure prediction and design using AlphaFold", www.biorxiv.org, 26 February 2023, https://www.biorxiv.org/content/10.1101/2023.02.25.529956v1.
Neurosnap Inc. - Computational Biology Platform for Research. Wilmington, DE, 2022. https://neurosnap.ai/.