D-lnc

D-lnc maps drug-induced modifications in long non-coding RNA (lncRNA) expression to enable analysis of drug–lncRNA interactions.

Key Features:

• Extensive Database Compilation: Manually curated, experimentally validated dataset comprising 7,825 entries describing interactions between 59 drugs and 7,538 lncRNAs across five species derived from ~1,000 published studies.
• Comprehensive Data Screening: Integration and probe re-annotation of microarray data from the Connectivity Map (cMap) and the Gene Expression Omnibus (GEO), yielding 19,946 putative links between 1,279 drugs and 129 lncRNAs in cMap and 36,210 entries involving 115 drugs and 2,360 lncRNAs in GEO.
• Predictive Analytical Capabilities: Computational similarity assessments of lncRNA sequences and drug structures to predict potential drug actions or modifications of lncRNA expression.

Scientific Applications:

• Drug Discovery and Development: Identification of candidate drug–lncRNA interactions and mechanistic hypotheses to inform target selection and compound prioritization.
• Therapeutic Research: Investigation of how small molecule drugs modulate lncRNA activity to support development of lncRNA-targeted therapeutic strategies.

Methodology:

Manual curation of experimentally validated drug–lncRNA interactions; automated screening and probe re-annotation of microarray data from cMap and GEO; computational similarity assessment of lncRNA sequences and drug structures.