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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: DB03882

5 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 hsa05224 Breast cancer Human Diseases Cancers: Specific types ESR2 1 0.15 0.025
2 hsa04915 Estrogen signaling pathway Organismal Systems Endocrine system ESR2 1 0.15 0.025
3 hsa01522 Endocrine resistance Human Diseases Drug resistance: Antineoplastic ESR2 1 0.15 0.031
4 hsa04917 Prolactin signaling pathway Organismal Systems Endocrine system ESR2 1 0.2 0.033
5 hsa05200 Pathways in cancer Human Diseases Cancers: Overview ESR2 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.