QuartataWeb
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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: DB09064


7 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 hsa05160 Hepatitis C Human Diseases Infectious diseases: Viral PPARA 1 0.088 0.023
2 hsa04932 Non-alcoholic fatty liver disease (NAFLD) Human Diseases Endocrine and metabolic diseases PPARA 1 0.095 0.023
3 hsa04931 Insulin resistance Human Diseases Endocrine and metabolic diseases PPARA 1 0.088 0.025
4 hsa04922 Glucagon signaling pathway Organismal Systems Endocrine system PPARA 1 0.095 0.025
5 hsa04024 cAMP signaling pathway Environmental Information Processing Signal transduction PPARA 1 0.18 0.027
6 hsa03320 PPAR signaling pathway Organismal Systems Endocrine system PPARA 1 0.14 0.032
7 hsa04920 Adipocytokine signaling pathway Organismal Systems Endocrine system PPARA 1 0.1 0.035


  logl

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.

Contact:

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.