A comprehensive database of verified experimental data on protein folding kinetics

Area of Science:

• Biophysics
• Computational Biology
• Structural Biology

Background:

• Protein folding is crucial for biological function, yet understanding its kinetics requires high-quality experimental data.
• Computational models for protein folding prediction need reliable datasets for validation.

Purpose of the Study:

• To create a comprehensive and verified database of protein folding rate constants.
• To facilitate the testing and development of computational protein folding models.
• To establish a standardized resource for the protein folding research community.

Main Methods:

• Compiled protein folding rate constants from 15 published collections and web databases.
• Verified each entry's folding rate (lnkf) and experimental conditions against original reports.
• Developed a streamlined submission form for new data adhering to established standards.

Main Results:

• Created ACPro, a curated database containing 126 verified protein folding kinetics entries.
• The database is freely accessible online, supporting the protein folding research community.
• Established a standardized method for incorporating new experimental folding kinetics data.

Conclusions:

• ACPro provides a high-confidence, accessible resource for validating protein folding models.
• The database promotes a stronger synergy between experimental and theoretical approaches in protein folding research.
• This resource will accelerate insights into protein folding, stability, and dynamics.