Pathway-specific protein domains are predictive for human diseases.

Area of Science:

• Genomics
• Molecular Biology
• Systems Biology

Background:

• Protein domains are fundamental functional units of proteins.
• Specific protein domains are associated with particular biological pathways.
• Human complex diseases are often considered disorders at the pathway level.

Purpose of the Study:

• To investigate the hypothesis that pathway-specific domains are highly informative for human diseases.
• To develop a quantitative method for assessing domain-pathway associations.
• To explore the role of pathway-specific domains in disease pathogenesis.

Main Methods:

• Generated domain profiles for human proteins.
• Constructed a co-pathway protein network based on domain profile associations.
• Developed a network-based scoring scheme to quantify domain-pathway specificity.
• Classified domains into pathway-specific domains (PSDs) and non-specific domains (NSDs).

Main Results:

• PSDs were found to contain more pathogenic variants than non-specific domains (NSDs).
• PSDs are enriched for disease-associated mutations that disrupt protein-protein interactions (PPIs).
• Mutations in PSDs likely disrupt within-pathway PPIs, leading to pathway functional failure.
• PSDs demonstrated predictive capacity for disease-associated genes, validated in zebrafish.

Conclusions:

• Pathway-specific domains offer a novel genomic feature for interpreting genetic variants.
• The study provides insights into how domain-pathway associations influence disease via PPI disruption.
• The findings facilitate the discovery of human disease genes by highlighting the importance of PSDs.