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Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile

<p>Supporting data for AFProfile</p> <p>casp15.tar.zst - predicted structures and MSAs for the CASP15 set<br>native_afm_2_6_bench.tar.zst - native cif files for all complexes with ranking confidence &lt;0.75 in the AFM 2-6 chains benchmark ( https://doi.org/10.1093/bioinformatics/btad424)<br>pred_top_models_afm_2_6_bench.tar.zst - predicted top ranked models and scores for all 100 samples.<br>afm_opt_metrics.csv - the best models, confidences and MMscores for the AFProfile run on the AFM 2-6 chains benchmark (n=427 structures)<br>msa_shapes.csv - the shape of the MSA as input to AFM for each structure<br>directed.tar.zst - contains all models for the AFProfile run on the AFM 2-6 chains benchmark (n=42700 samples)</p> <p>The directories are compressed with zstd: https://github.com/facebook/zstd<br>Uncompress:<br>tar --use-compress-program full/path/to/zstd -xvf file.tar.zst</p>

ShareScore

40/100

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
4