KineticDB: a database of protein folding kinetics

Area of Science:

• Biochemistry
• Structural Biology
• Computational Biology

Background:

• Protein folding is crucial for biological function.
• Understanding protein folding kinetics is essential for drug discovery and protein engineering.
• Experimental data on protein folding rates are scattered and difficult to access.

Purpose of the Study:

• To create a comprehensive, user-friendly database of protein folding kinetics.
• To provide a centralized resource for experimental protein folding rates.
• To facilitate research into the determinants of protein folding.

Main Methods:

• Systematic compilation of existing experimental data on protein folding kinetics.
• Inclusion of data for single-domain proteins, protein domains, and short peptides.
• Data curation and organization for easy accessibility.

Main Results:

• KineticDB contains folding kinetics data for approximately 90 unique proteins and numerous mutants.
• The database represents the largest collection of protein folding kinetic data available.
• Data includes folding rates determined experimentally for various protein types.

Conclusions:

• KineticDB serves as a valuable resource for researchers studying protein folding.
• The database supports the validation of theoretical models and empirical relationships in protein folding.
• Facilitates new insights into the protein folding process and its determinants.