A curated dataset of treatment–control signature profiles for bioactive compounds and herbal perturbagens.
PSDAP(Pharmacological Signature Dataset and Annotation Platform) is a curated dataset of perturbagen-induced signature profiles integrating public pharmacological and herbal medicine transcriptome resources.
A signature profile summarizes genes significantly upregulated or downregulated after perturbagen treatment relative to the matched control condition.
PSDAP provides curated metadata, gene-level differential expression statistics, pathway enrichment, disease term enrichment, and similar perturbagen condition results.
PSDAP workflow
PSDAP data
Data sources
10
Public pharmacological and herbal transcriptomic resources
Perturbagen categories
4
Bioactive compound, herbal ingredient, herb, herbal formula
Unique perturbagens
21,007
Curated perturbagens
Experimental models
76
Cell, tissue, and animal models
Signature profiles
90,155
Treatment–control comparison-derived signatures
Annotation coverage
DEG signatures
90,155
Treatment–control DEG signatures
Pathway enrichment
35,134
MSigDB pathways
Disease enrichment
19,410
Integrated disease signatures
Perturbagen similarity
90,155
Drug-induced transcriptomic signatures
Applications
Mechanistic exploration
Explore biological pathways and molecular functions associated with perturbagen-induced transcriptional responses.
Indication hypothesis
Investigate disease-related biological associations through transcriptomic signature enrichment.
Similar perturbagen discovery
Identify perturbagens with similar transcriptomic signatures using Gene Ontology semantic similarity.
Pharmacological–Herbal Integration
Analyze bioactive compounds and herbal perturbagens within a unified transcriptomic signature framework.
