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: DB04371


6 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 hsa04966 Collecting duct acid secretion Organismal Systems Excretory system CA2 1 0.069 0.0072
2 hsa04964 Proximal tubule bicarbonate reclamation Organismal Systems Excretory system CA2 1 0.05 0.0072
3 hsa00910 Nitrogen metabolism Metabolism Energy metabolism CA2 1 0.05 0.0092
4 hsa04971 Gastric acid secretion Organismal Systems Digestive system CA2 1 0.073 0.012
5 hsa04976 Bile secretion Organismal Systems Digestive system CA2 1 0.073 0.012
6 hsa04972 Pancreatic secretion Organismal Systems Digestive system CA2 1 0.089 0.013


  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.