FireProtDB: Database of Thermostable Proteins for Computational Protein Engineering

FireProtDB is a dataset of thermostable proteins, which are crucial for biomedical and biotechnological applications. The dataset was created by LiteFold to provide high-quality data for improving the reliability of computational methods for protein stability prediction. It was last updated on 2026-05-27.

Use Cases

• Training machine learning models for protein thermostability prediction based on sequence or structural data.
• Benchmarking computational methods for protein engineering against a curated dataset of stability data.
• Identifying patterns and features that correlate with protein thermostability for rational design.

Strengths

• Dataset is specifically focused on thermostable proteins, a niche with high application value.
• Created to address the data availability issue hindering computational method reliability.

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

LiteFold

Freshness

Last updated 2026-05-27 12:08:02; freshness should be verified.