cogena

cogena performs co-expressed gene-set enrichment analysis to identify co-expressed genes and link disease transcriptomes to drug-related gene expression profiles for drug discovery and repositioning.

Key Features:

• Co-Expression Analysis: Integrates gene expression signatures with gene set enrichment analysis to identify co-expressed gene sets.
• Pathway-Driven Insights: Focuses on coordinated changes within disease transcriptomes to provide pathway-level insights into disease pathology and drug mechanisms.
• Drug Repositioning Framework: Predicts candidate drugs by matching disease gene expression signatures to drug-related gene expression profiles and identifying similar drugs.
• Performance and Validation: Demonstrated superior performance relative to the Connectivity Map and NFFinder on disease transcriptomes, exemplified by recovering Methotrexate and Ciclosporin from a psoriatic skin transcriptome.
• Literature Support and Insight Generation: Provides literature-backed evidence for candidate drugs and generates mechanistic hypotheses linking drugs to disease-relevant pathways.

Scientific Applications:

• Drug Discovery and Repositioning: Prioritizes and predicts candidate drugs for new indications based on transcriptomic similarity and putative modes of action.
• Mechanism Elucidation: Elucidates drug modes of action by linking compounds to pathway-level changes in disease transcriptomes.
• Disease Transcriptome Analysis: Identifies coordinated, biologically relevant co-expressed gene sets within disease-specific expression data.

Methodology:

Integrates gene expression signatures with gene set enrichment analysis to identify co-expressed gene sets and matches disease signatures to drug-related gene expression profiles to predict candidate drugs.