BioReason-Pro: Protein Function Prediction Data for RL Optimization

Wanglab's training dataset for reinforcement learning optimization of the BioReason-Pro model. The data contains proteins with Gene Ontology term annotations, InterPro domains, STRING protein-protein interactions, and protein metadata. It was last updated on March 20, 2026.

Use Cases

• Training reinforcement learning agents for protein function prediction based on the described multimodal biological features.
• Benchmarking protein function prediction models using the provided Gene Ontology term annotations.
• Analyzing relationships between protein domains and functions using the included InterPro domain data.
• Studying protein interaction networks for functional inference based on the STRING protein-protein interaction data.

Strengths

• Dataset is specifically designed for reinforcement learning (GRPO) optimization of the BioReason-Pro model.
• Integrates multiple biological data types: GO term annotations, InterPro domains, STRING interactions, and metadata.
• Last updated on 2026-03-20, suggesting recent maintenance.

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, author wanglab

Collection Method

Likely compiled from public biological databases for model training.

Freshness

Last updated 2026-03-20 15:09:23