An updated resource for systematically exploring molecular features associated with drug sensitivity across multi-omics datasets.
Integrates large-scale pharmacogenomic data from GDSC, CellMiner, CCLE, and PubChem, covering 30,890 drugs and 38,908 RNA molecules across four molecular layers, including gene expression, copy number variation, somatic mutations, and DNA methylation.
Curates 22,800,375 drug–RNA associations , enabling systematic exploration of drug sensitivity-associated RNA molecules across diverse molecular contexts.
Integrates 11,099 TCGA cases across 33 cancer types to support clinical and pan-cancer analyses of drug sensitivity-associated RNA features.
Incorporates 3,843,186 cells from 208 single-cell RNA sequencing datasets, spanning 34 cancer types and 38 tissues, enabling investigation of cell type-specific patterns and intratumoral heterogeneity.
Provides an exploratory enhancer layer comprising 26,440 enhancers and 788,444 computationally inferred drug–enhancer associations, together with potential target gene prediction, to complement RNA-level analyses from an epigenetic regulatory perspective.
Provides enhanced search and browsing functionalities, together with seven analytical tools for functional annotation, pan-cancer analysis, tumor microenvironment profiling, single-cell trajectory and CNV analysis, and enhancer-related analyses.
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