hu.MAP

hu.MAP maps human protein complexes by integrating over 9,000 published mass spectrometry experiments to produce a resource of more than 4,600 protein complexes, involving over 7,700 proteins and over 56,000 unique interactions for analysis of protein complex composition and disease-associated interactions.

Key Features:

• Comprehensive Coverage: Contains more than 4,600 protein complexes, over 7,700 proteins, and over 56,000 unique interactions derived from large-scale data integration.
• Mass Spectrometry Integration: Synthesizes results from over 9,000 published mass spectrometry experiments to expand and consolidate protein interaction evidence.
• Quantitative Metric (k-cliques): Employs the k-cliques metric to optimize comparison of sets of sets and improve complex identification.
• Optimized Learning Procedures: Uses optimized learning procedures and innovative metrics to recapitulate known complexes and predict novel ones.
• Enriched Annotations: Associates many complexes with literature annotations to provide contextual biological information.
• Disease Association: Improves coverage of disease-associated proteins and supports analysis of genetic diseases such as ciliopathies.

Scientific Applications:

• Understanding Cellular Functions: Enables analysis of protein complex composition to elucidate core cellular functions of human proteins.
• Disease Mechanisms: Supports investigation of mechanistic foundations of human diseases and prediction of candidate disease genes, including those associated with ciliopathies.
• Experimental Validation: Has been used to predict and validate new cilia basal body/centriolar satellite proteins (CCDC138, WDR90, KIAA1328) and to identify ANKRD55 as a novel member of the intraflagellar transport machinery in model vertebrates.

Methodology:

Integration of >9,000 published mass spectrometry experiments, application of the k-cliques metric for set comparison, and optimization of learning procedures to recapitulate known complexes and predict new complexes.