Protein Homeostasis Database

Protein Homeostasis Database compiles datasets from whole-genome experiments to characterize interactions among molecular chaperones Trigger Factor, DnaK/J, and GroEL/ES and associated proteostatic parameters in E. coli.

Key Features:

• Whole-genome interaction datasets: Compiles whole-genome experimental datasets detailing interactions among Trigger Factor, DnaK/J, and GroEL/ES in E. coli.
• Proteostatic parameters: Includes protein solubility, abundance, folding dynamics, RNA translation efficiency, and structural attributes for proteins.
• Integrated public data: Aggregates publicly available experimental data with additional proteostatic parameters to provide combined datasets of chaperone–substrate relationships.
• Comparative analysis support: Enables analysis of user-specified protein sets against background datasets to identify differentiating features relevant to proteostasis.

Scientific Applications:

• Discovery of regulatory motifs: Analyzing differentiating features within specified protein sets compared to background data to uncover regulatory motifs and relationships in protein homeostasis.
• Profiling protein quality control: Providing a holistic view of protein quality control and chaperone–substrate relationships in E. coli.

Methodology:

Compiles and integrates publicly available whole-genome experimental datasets and additional proteostatic parameters to produce combined datasets of chaperone–substrate interactions in E. coli.