TargetMine

TargetMine integrates diverse biological data to support retrieval, prioritization, and experimental characterization of target genes and proteins for drug discovery and biomedical research.

Key Features:

• Integrated Data Models: Utilizes the InterMine framework and novel data models, including protein-DNA interactions, to represent and query integrated biological entities.
• Custom Annotations and Experimental Data Integration: Supports incorporation of custom annotations and in-house experimental data to augment analyses.
• Efficient Target Prioritization: Implements an objective protocol that integrates multiple data types for prioritizing candidate genes and proteins, with benchmarking demonstrating high precision and coverage for known disease-associated genes.
• Enriched Biological Themes Analysis: Performs enrichment analysis on query gene/protein sets to identify biological themes and associations.

Scientific Applications:

• Drug discovery target identification: Retrieval and systematic prioritization of gene and protein targets relevant to therapeutic development.
• Candidate gene prioritization: Selection of candidate genes for further experimental characterization using integrated evidence.
• Disease-gene identification: Benchmarking-supported identification of known disease-associated genes from integrated datasets.
• Functional enrichment analysis: Analysis of gene/protein sets to uncover enriched biological themes and associations.

Methodology:

Built on the InterMine framework with novel data models such as protein-DNA interactions and an objective, benchmarked target-prioritization protocol.