Discover drug candidates from gene signatures

Sig2Drug allows to analyze differential gene expression data and find compounds that reverse disease signatures.

Data analysis Publication

Signatures

Compounds

Cell-based models

DISEASE VS CONTROL

→

Sig2Drug

reversing signatures

Drug A

vs control

Drug B

vs control

Drug C

vs control

Data Analysis

Upload disease vs control signatures with gene symbols and statistics

Analysis Method

ℹ️ Note: Up/down lists → XSum or KS only. With statistics or count matrix → all methods.

✓ Accepted: t-stat, z-score, Wald stat, signed -log10(p/FDR) | ⚠ logFC alone (noisy)

Human genes only: Either gene symbols (e.g. TP53, BRCA1) and/or Ensembl IDs (e.g. ENSG00000141510). Non-human? Map to human orthologs first.

| .xlsx .xlsx .xlsx

Up/Down Lists Ranked List Count Matrix

Upregulated Genes

Downregulated Genes

For KS and XSum methods only

Gene Symbols with Statistics

Format: gene,statistic (tab, comma, or semicolon). Order from most upregulated to most downregulated.

Count Matrix (Tab-separated)

Raw expression data: genes as rows, samples as columns (tab-separated)