Protein Homeostasis Database

Protein Homeostasis Database provides a consolidated resource of experimental chaperone interaction data and protein-specific and cell context–dependent proteostatic parameters for the Escherichia coli proteome to support analysis of protein quality control mechanisms.

Key Features:

• Chaperone Interaction Data: Includes exhaustive client lists for Trigger Factor, DnaK/J, and GroEL/ES derived from whole-genome experiments mapping interactions between nascent polypeptides and molecular chaperones.
• Proteostatic Parameters: Contains protein-specific and cell context–dependent parameters that describe proteostatic features across different cellular conditions.
• Dataset Profiling: Supports profiling user-specified datasets against all collected chaperone interaction and proteostatic parameters for comparative analyses.

Scientific Applications:

• Research Acceleration: Centralized chaperone interaction and proteostatic parameter data enable rapid identification of differentiating features in datasets to inform experimental design and interpretation.
• Molecular Chaperone Studies: Supports investigations into molecular chaperone roles in protein folding and quality control from translation to degradation in vivo.
• Proteostasis Research: Facilitates study of how cellular conditions influence protein stability, folding, and overall proteome homeostasis.

Methodology:

The database was built by compiling publicly available experimental data on chaperone interactions in Escherichia coli and augmenting these datasets with additional protein-specific and cell context parameters before integrating them into a single platform.