CDA / phExplorer – Multi-signaling Pathway Targeting combinatorial Drug Discovery / Network Visualization

CDA / phExplorer


CDA (Combinatorial Drug Assembler) is a system for multi-signaling pathway targeting combinatorial drug discovery using gene expression profile. General expression pattern matching methods can be used to quantify the degree of functional similarity among genetic perturbation, disease, and drugs. CDA performs expression pattern matching within signaling pathway to measure functional similarity between input gene sets and 6,100 molecule-treated expression profiles using Kolmogorov-Smirnov statistics. Then it lists up best pattern matching single drugs/combinatorial drug pairs across the input gene set-related signaling pathways.

phExplorer is a network visualization tool which provides integrated drug-protein-disease information. Using phExplorer, users can get clues how those chemicals could related to signaling pathways from known relationships.


Information Center for Bio-pharmacological Network (i-Pharm)




  • Windows/Linux/MacOsX
  • Java





CDA: combinatorial drug discovery using transcriptional response modules.
Lee JH, Kim DG, Bae TJ, Rho K, Kim JT, Lee JJ, Jang Y, Kim BC, Park KM, Kim S.
PLoS One. 2012;7(8):e42573. doi: 10.1371/journal.pone.0042573.