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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: DB01812

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 hsa00534 Glycosaminoglycan biosynthesis - heparan sulfate / heparin Metabolism Glycan biosynthesis and metabolism NDST1;HS3ST1;HS3ST3A1 3 0.012 6.1E-6
2 hsa00140 Steroid hormone biosynthesis Metabolism Lipid metabolism SULT1E1;SULT2B1 2 0.052 0.0038
3 hsa05204 Chemical carcinogenesis Human Diseases Cancers: Overview SULT1A1;SULT2A1 2 0.061 0.0048
4 hsa04976 Bile secretion Organismal Systems Digestive system SULT2A1 1 0.063 0.083
5 hsa00980 Metabolism of xenobiotics by cytochrome P450 Metabolism Xenobiotics biodegradation and metabolism SULT2A1 1 0.052 0.083
6 hsa01100 Metabolic pathways Metabolism Global and overview maps NDST1 1 0.27 0.74


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.