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: DB01251


4 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 hsa04930 Type II diabetes mellitus Human Diseases Endocrine and metabolic diseases ABCC8 1 0.068 0.025
2 hsa02010 ABC transporters Environmental Information Processing Membrane transport ABCC8 1 0.043 0.025
3 hsa04911 Insulin secretion Organismal Systems Endocrine system ABCC8 1 0.068 0.03
4 hsa04022 cGMP-PKG signaling pathway Environmental Information Processing Signal transduction KCNJ8 1 0.12 0.043



  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.