NFFinder

NFFinder identifies potential drug repositioning opportunities for orphan diseases by comparing transcriptomic gene expression signatures from experimental studies and public databases.

Key Features:

• Transcriptomic Data Integration: Utilizes gene expression profiles from experimental studies combined with publicly available databases to discern similar or opposing expression patterns.
• Drug Repositioning Focus: Identifies new therapeutic uses for approved or advanced-stage drugs through transcriptomic signature comparisons, prioritizing candidates for orphan diseases.
• Phenotype-Driven Analysis: Establishes connections between drugs, diseases, and specific phenotypes by matching phenotype-associated expression signatures.
• Expert Identification: Identifies researchers who have published work related to the domain of interest to facilitate scientific collaboration.

Scientific Applications:

• Drug repurposing for orphan diseases: Generates hypotheses for repurposing approved or investigational drugs based on shared or opposing transcriptomic signatures.
• Mechanistic hypothesis generation: Reveals shared or contrasting gene expression signatures that suggest biological mechanisms linking drugs and disease phenotypes.

Methodology:

Analyzes gene expression profiles and integrates them with public databases, using computational algorithms to identify patterns of shared or contrasting gene expression signatures that suggest potential drug–disease interactions.