DREAM

DREAM provides a curated database integrating experimentally validated and GEO microarray-derived protein-coding RNA associations with drug response in human cancers.

Key Features:

• Extensive Data Compilation: DREAM contains 3,048 entries from PubMed documenting protein-coding RNAs associated with drug sensitivity or intervention in human cancers and integrates expression data from 195 high-throughput microarray datasets from GEO.
• Detailed Entry Information: Each entry includes protein-coding RNA identifiers, associated drugs, specific cancer types, article titles, PubMed IDs, journal names, and publication dates.
• Analytical Outputs: The resource provides volcano plot generation, GO and KEGG enrichment analyses, and novel drug discovery analysis for interpreting expression–drug associations.

Scientific Applications:

• Mechanism elucidation: Use curated RNA–drug associations and expression profiles to investigate molecular mechanisms underlying drug response in cancers.
• Biomarker identification: Identify candidate protein-coding RNA biomarkers of drug sensitivity or resistance for experimental validation and therapeutic stratification.
• Therapeutic discovery: Prioritize candidate drugs or targets by combining differential expression data with GO/KEGG enrichment and drug association analyses.

Methodology:

Data were manually curated from PubMed and integrated with 195 GEO microarray datasets; analytical methods explicitly include volcano plot generation, GO/KEGG enrichment analysis, and novel drug discovery analysis.