EWCL–MobiDB Benchmarks 2025: DisProt, IDEAL, Merge, UniProt, and Binding Snapshots
Description
This dataset provides per-residue and per-protein benchmark tables for EWCLv1 (Entropy-Weighted Collapse Likelihood) evaluated against the MobiDB curated disorder references — DisProt, IDEAL, Merge, and UniProt — as well as the derived Binding Disorder–Disorder (D→D) snapshot.
EWCL quantifies local conformational entropy and thermodynamic confidence directly from sequence.
Each archive includes ROC and PR plots, per-protein metrics, and summary JSONs used in the EWCL-2025 study.
These benchmarks complement the EWCL–CAID Benchmarks 2025 dataset (Zenodo DOI: 10.5281/zenodo.17352525), which provides CAID-aligned disorder, linker, and binding evaluations.
Contents
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EWCL_MOBIDB_2025_Disprot.zip — DisProt reference (full curated set)
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EWCL_MOBIDB_2025_IDEAL_excl_Disprot.zip — IDEAL benchmark excluding DisProt overlap
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EWCL_MOBIDB_2025_Merge_excl_Disprot.zip — MobiDB Merge benchmark excluding DisProt overlap
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EWCL_MOBIDB_2025_UniProt_excl_Disprot.zip — UniProt benchmark excluding DisProt overlap
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EWCL_MOBIDB_2025_Binding_DD.zip — Non-homology Binding Disorder–Disorder (D→D priority) snapshot
Each ZIP contains:
data/ (residue- and protein-level CSVs),
figs/ (ROC and PR curves), and
meta/summary.json (micro/macro AUCs, F1, prevalence)
Files
EWCL_MOBIDB_2025_Binding_DD.zip
Files
(81.7 MB)
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Additional details
Identifiers
Related works
- Is supplement to
- Dataset: 10.5281/zenodo.17352525 (Other)
Software
- Repository URL
- https://github.com/CristinoLLC/EWCL-Data
- Programming language
- Python , TypeScript
- Development Status
- Active