Biological and Crystallographic Protein-Protein Interfaces from HADDOCK Models

HADDOCK refined models for biological and crystallographic interfaces collected in the DC and MANY datasets. The dataset was contributed by Alexandre M. J. J. Bonvin of Utrecht University. The temporal coverage and size of the dataset are not specified in the available metadata.

Use Cases

• Predict protein-protein binding affinity based on refined interface models.
• Train machine learning models for protein docking using structural features.
• Benchmark computational methods for interface classification and analysis.

Strengths

• Models are refined using the HADDOCK software, a recognized tool in structural biology.
• Interfaces are sourced from established biological datasets (DC and MANY).

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

paperswithcode

Collection Method

HADDOCK refined models derived from the DC and MANY datasets.