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Design of linear and cyclic peptide binders

<p>The data is compressed with zstd: https://github.com/facebook/zstd and tar. To uncompress do:&nbsp;</p> <p>tar --use-compress-program full/path/to/zstd -xvf file.tar.zst</p> <p>PDB files of predicted protein-peptide complexes from the design process:</p> <p>1.1G &nbsp; &nbsp;1ssc_untargeted_cyclic_afm.tar.zst <br>1.1G &nbsp; &nbsp;1ssc_untargeted_cyclic.tar.zst<br>1.1G &nbsp; &nbsp;1ssc_untargeted_linear_afm.tar.zst<br>1.1G &nbsp; &nbsp;1ssc_untargeted_linear.tar.zst</p> <p>Selected PDB files of predicted protein-peptide complexes from the design process:</p> <p>(440 KB each). 1ssc_adversarial_linear_sel, 1ssc_tp_cyclic_sel, 1ssc_tp_linear_sel</p> <p>Metrics:</p> <p>1ssc_cyclic_merged_with_solubility.csv &nbsp;- all cyclic design metriccs</p> <p>1ssc_linear_merged_with_solubility.csv - all linear design metriccs</p> <p>1ssc_linear_adversarial_sel.csv - adversarial selection for linear design</p> <p>1ssc_linear_tp_sel.csv - top selection for linear design</p> <p>spr_results.csv - SPR affinities (Kd)</p> <p>1ssc_cyclic_tp_sel.csv - top selection for cyclic design</p> <p>linear_top_adversarial_pae.csv - PAE scores for linear top and adversarial designs</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0