Published October 14, 2025 | Version v1
Dataset Open

EWCL–CAID Benchmarks 2025: Binding, Disorder (PDB & NOX), and Linker

  • 1. EWCL Research Group

Contributors

Data curator:

  • 1. EWCL Research Group

Description

Title:

EWCL–CAID Benchmarks 2025: Independent Evaluation of Protein Disorder, Binding, and Linker Predictors

 

Description:

This dataset accompanies the 2025 EWCL (Entropy-Weighted Collapse Likelihood) CAID benchmark suite.

It provides an independent, standardized evaluation of sequence- and structure-based predictors across four canonical CAID tasks:

Binding-IDR, Disorder-PDB, Disorder-NOX, and Linker.

 

The EWCL framework did not participate as a competing method in CAID; it served purely as an external benchmarking and reproducibility platform, applying the same protocols and thresholds used by CAID organizers to ensure compatibility and transparency.

 

Each archive (EWCL_CAID_*.zip) includes:

• Residue-level predictions and corresponding ground-truth annotations

• Per-protein ROC-AUC and PR-AUC summary tables

• Aggregate metrics (ROC-AUC, PR-AUC, F1-max, positive rate)

• Visualization figures (ROC, PR, and score distributions in PNG format)

 

Results were computed using EWCLv1, the structure-aware entropy-weighted model that integrates AlphaFold-derived features (pLDDT, entropy weighting, and curvature penalties).

All files are aligned to CAID reference annotations for direct comparison.

Files

EWCL_CAID_Binding_2025.zip

Files (3.9 MB)

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Additional details

Dates

Available
2025-10-14

Software

Repository URL
https://github.com/CristinoLLC/EWCL-Data
Programming language
Python , TypeScript
Development Status
Active