Tabloid Proteome

Tabloid Proteome maps protein association networks in Homo sapiens and Mus musculus by analyzing co-occurrence across mass spectrometry-based proteomics experiments from PRIDE to reveal associations beyond direct binary interactions.

Key Features:

• Broad Spectrum of Protein Associations: Captures physical contacts, complex membership, and shared pathway roles, extending beyond direct binary protein–protein interactions.
• Co-occurrence-based Inference from PRIDE: Infers associations by analyzing protein co-occurrence across numerous mass spectrometry-based proteomics experiments from PRIDE.
• Integration with Biological Annotations: Integrates annotations from established biological resources to contextualize and enrich the inferred associations.

Scientific Applications:

• Proteome Network Characterization: Enables identification of candidate functional associations and complexes in human (Homo sapiens) and mouse (Mus musculus) proteomes.
• Disease Mechanism and Drug Target Discovery: Supports investigation of disease mechanisms and prioritization of drug targets by revealing non-obvious protein associations.
• Pathway Elucidation and Systems Biology: Facilitates pathway elucidation and systems-level analyses by providing a more holistic view of protein networks.

Methodology:

Uses publicly available mass spectrometry-based proteomics data from PRIDE, analyzes protein co-occurrence across numerous proteomics experiments, and integrates annotations from established biological resources.