PPI2Text: Free-Text Descriptions of Protein-Protein Interactions

Free-text descriptions of protein–protein interactions (PPIs) pairing UniProt accessions with explanatory paragraphs. The dataset was built by xiao-fei to train and evaluate multimodal models that generate PPI descriptions from protein sequence and structure inputs. It was last updated on 2026-05-12.

Use Cases

• Train text generation models based on protein interaction data.
• Evaluate multimodal models on biological sequence-to-text tasks.
• Benchmark natural language processing systems for summarizing protein interactions.
• Develop AI tools for automatically annotating protein-protein interaction databases.

Strengths

• Descriptions include biological context, conditions, mechanism, and functional consequences.
• Text uses placeholders 'Protein A' and 'Protein B', which likely aids model generalization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Likely compiled from biomedical literature or databases to pair UniProt accessions with descriptive text.

Freshness

Last updated 2026-05-12 12:14:33.