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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: DB00304

10 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 ESR1;PGR 2 0.17 0.0019
2 hsa04915 Estrogen signaling pathway Organismal Systems Endocrine system ESR1;PGR 2 0.13 0.0019
3 hsa04114 Oocyte meiosis Cellular Processes Cell growth and death PGR 1 0.25 0.041
4 hsa04919 Thyroid hormone signaling pathway Organismal Systems Endocrine system ESR1 1 0.15 0.041
5 hsa04961 Endocrine and other factor-regulated calcium reabsorption Organismal Systems Excretory system ESR1 1 0.35 0.042
6 hsa04914 Progesterone-mediated oocyte maturation Organismal Systems Endocrine system PGR 1 0.13 0.044
7 hsa01522 Endocrine resistance Human Diseases Drug resistance: Antineoplastic ESR1 1 0.13 0.044
8 hsa04917 Prolactin signaling pathway Organismal Systems Endocrine system ESR1 1 0.2 0.047
9 hsa05205 Proteoglycans in cancer Human Diseases Cancers: Overview ESR1 1 0.13 0.059
10 hsa05200 Pathways in cancer Human Diseases Cancers: Overview ESR1 1 0.25 0.14


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.