Phylobone

Phylobone catalogs bone extracellular matrix (ECM) proteins across humans and 30 vertebrate species to support evolutionary, comparative, and translational analyses of skeletal biology.

Key Features:

• Extensive Protein Catalog: Phylobone encompasses 255 proteins potentially expressed in the bone ECM of humans and covers 30 vertebrate species to enable cross-species comparisons and evolutionary studies.
• Bioinformatics Pipeline: The resource employs a bioinformatics pipeline to elucidate evolutionary relationships among bone ECM proteins and to identify suitable model organisms for investigating bone regeneration.
• Network Analysis: Phylobone includes network analyses that reveal high connectivity among bone ECM proteins, highlighting their complex interactions relevant to bone physiology.
• Functional Protein Domains: The database identifies 214 functional protein domains within ECM proteins, including collagen-related domains and other domains implicated in bone formation and resorption.
• Drug Repurposing Potential: Phylobone integrates data from public drug repositories to associate ECM proteins with existing drugs and to highlight repurposing opportunities for conditions such as osteoporosis.

Scientific Applications:

• Bone Regeneration: Enables identification and comparative study of ECM proteins and interactions involved in bone formation and regenerative processes.
• Osteoporosis Research: Supports discovery of ECM-associated targets and candidate drugs relevant to osteoporosis.
• Mechanobiology: Facilitates analysis of ECM protein networks and domains that contribute to mechanical and regulatory aspects of bone tissue.
• Evolutionary Studies and Model Organism Selection: Informs selection of vertebrate model organisms through evolutionary relationship analyses of bone ECM proteins.
• Drug Repurposing and Therapeutic Target Identification: Provides integrated drug–protein associations to prioritize existing compounds for potential therapeutic use targeting ECM proteins.

Methodology:

Computational methods include a bioinformatics pipeline for evolutionary relationship analysis, network analysis of protein connectivity, identification of functional protein domains, and integration of public drug repository data.