Top Ten Predicted Proteins for Clozapine from HBGCN Model

A list of ten proteins predicted to interact with the antipsychotic drug Clozapine, generated by the Heterogeneous Biological Graph Convolutional Network (HBGCN) model. The dataset is provided by author Haoran Zhu and was last updated on May 19, 2026. It is a small dataset, 5.5 KB in size, shared under a CC-BY-4.0 license.

Use Cases

• Prioritizing experimental validation targets based on computational predictions for Clozapine.
• Benchmarking new drug-target interaction models against the HBGCN predictions.
• Investigating potential off-target effects or new therapeutic uses for Clozapine based on the predicted protein interactions.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Results are from a published method (HBGCN) that integrates multimodal biological information.
• Shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and specific column definitions are unknown, limiting detailed assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The dataset's scope is limited to ten predictions for a single drug.

Provenance

Source

Generated by the HBGCN model, source code available on GitHub.

Collection Method

Computational prediction using a Heterogeneous Biological Graph Convolutional Network.

Freshness

Last updated 2026-05-19 17:24:37; freshness should be verified.