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Network of pathways (lightgreen rectangle) and targets (blue spheres) for the queried drug is displayed above.
Selecting nodes by clicking will fade out the nodes which are not connected to the selected nodes.

Data source: DrugBank-all; Query type: chemical; # of predictions: 20; Secondary interactions: no
Input drug 1: DB07053

9 pathways for known targets of input drug:
No. Pathway ID Pathway name Pathway Class 1 Pathway Class 2 Targets # of targets p-value (EPD) p-value (EPT)
1 hsa04152 AMPK signaling pathway Environmental Information Processing Signal transduction PPARG 1 0.085 0.031
2 hsa04380 Osteoclast differentiation Organismal Systems Development PPARG 1 0.087 0.031
3 hsa05016 Huntington disease Human Diseases Neurodegenerative diseases PPARG 1 0.1 0.033
4 hsa05202 Transcriptional misregulation in cancer Human Diseases Cancers: Overview PPARG 1 0.085 0.033
5 hsa04714 Thermogenesis Organismal Systems Environmental adaptation PPARG 1 0.097 0.034
6 hsa04211 Longevity regulating pathway Organismal Systems Aging PPARG 1 0.1 0.036
7 hsa03320 PPAR signaling pathway Organismal Systems Endocrine system PPARG 1 0.12 0.036
8 hsa05216 Thyroid cancer Human Diseases Cancers: Specific types PPARG 1 0.15 0.045
9 hsa05200 Pathways in cancer Human Diseases Cancers: Overview PPARG 1 0.25 0.07


Reference:  Hongchun Li, Fen Pei, D. Lansing Taylor and Ivet Bahar. (2020) QuartataWeb: Integrated Chemical–Protein-Pathway Mapping for Polypharmacology and Chemogenomics. Bioinformatics 36(12), 3935–3937.


The QuartataWeb server is maintained by the Bahar Lab at the Department of Computational & Systems Biology at the University of Pittsburgh, School of Medicine, and sponsored by the NIH awards P41 GM103712 and P01 DK096990; and by the Li Lab at Research Center for Computer-Aided Drug Discovery at Shenzhen Institutes of Advanced Technology, CAS.

For questions and comments please contact Hongchun Li.