StarGazer

StarGazer prioritizes drug targets and facilitates digital drug repositioning by integrating multi-omics data and human domain expertise into a unified scoring framework.

Key Features:

• Multi-Omics Data Integration: Processes and integrates genomics, phenomics, and proteomics datasets from multiple sources.
• Hybrid Intelligence Framework: Combines human expertise in disease biology with computational analysis to augment target discovery and identify drug–indication associations.
• Numerical Scoring System: Computes a singular numerical target prioritization score that integrates diverse omics layers and data sources.

Scientific Applications:

• Drug Discovery and Repositioning: Ranks and prioritizes candidate drug targets and suggests drug–indication associations for digital repositioning.
• Phenotypic Trait Analysis: Provides prioritization scores for genes associated with 1844 phenotypic traits to support gene–disease association analyses.

Methodology:

A prototype pipeline integrates multi-source genomics, phenomics, and proteomics data and applies a target prioritization scoring system to compute unified numerical scores for ranking targets and drug–indication associations.