GWAS-Based Depolymerase Predictions: 26 Protein Sequences

A manually-curated list of 26 protein sequences predicted to be depolymerases, based on a GWAS approach. The dataset includes 12 sequences classified as 'strong' predictions and 14 as 'likely' predictions, authored by Aleksandra Otwinowska. It was last updated on 2026-04-28.

Use Cases

• Training or benchmarking protein function classifiers based on manually-curated prediction labels.
• Validating GWAS-based computational methods for identifying depolymerase enzymes.
• Investigating sequence features that distinguish 'strong' from 'likely' depolymerase predictions.

Strengths

• Contains 26 manually-curated protein sequences, providing a focused set for analysis.
• Includes a clear classification scheme with 12 'strong' and 14 'likely' predictions.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 21.7 KB, limiting its scope for large-scale machine learning.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Manually-curated selection based on a GWAS approach, as described in the associated S1 Text.

Freshness

Last updated 2026-04-28 17:23:26; freshness should be verified.