HanMATE: Predicted Protein Subcellular Localizations

Predicted HanMATE proteins in the subcellular organelle. The dataset was authored by Mohammad Nazmol Hasan and last updated on April 13, 2026. It is a small 5.5 KB Excel file available under a CC-BY-4.0 license.

Use Cases

• Validate protein subcellular localization prediction algorithms based on the HanMATE protein set.
• Train or benchmark machine learning models for organelle-specific protein classification.
• Perform comparative analysis of predicted protein distributions across different organelles.

Strengths

• Dataset is openly licensed (CC-BY-4.0).
• File size is small (5.5 KB), facilitating quick download and inspection.
• Last update date is explicitly provided (2026-04-13).

Limitations

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

Provenance

Source

Mohammad Nazmol Hasan via figshare.

Collection Method

Prediction method is not specified in the provided metadata.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2026-04-13 17:26:15; freshness should be verified.

Geography

Spatial coverage is not specified.