PSCP Data and Results for PIPPack
<p>Evaluation datasets and results for the protein side chain packing (PSCP) task from PIPPack: <a href="https://www.biorxiv.org/content/10.1101/2023.08.03.551328v2">https://www.biorxiv.org/content/10.1101/2023.08.03.551328v2</a>.</p> <p>This repository contains the CASP13, CASP14, CASP15, CASP15+context, and Top2018 test sets created as described in the PIPPack paper. The native, ground-truth structures are found in the "native" subdirectory; other subdirectories contain predictions made by PSCP methods. Subdirectories also contain some statistics and results in the form of .txt files. </p> <p>The CASP15+context results make use of an additional Python script (PIPPack/data/extract_targets_from_full_targets.py) found in the PIPPack GitHub repository (<a href="https://github.com/Kuhlman-Lab/PIPPack">https://github.com/Kuhlman-Lab/PIPPack</a>).</p> <p>Citing this work: If you choose to use any of these datasets or results for your own research, please cite this repository and the PIPPack paper: <a href="https://www.biorxiv.org/content/10.1101/2023.08.03.551328v2">https://www.biorxiv.org/content/10.1101/2023.08.03.551328v2</a>.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 12
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
Dataset details
- Repository
- zenodo
- Published
- May 20, 2024
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.11236816
Scored with release 0.9.0
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