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GO enrichment results  
   
Top 20 enriched GO molecular function (p-value based on targets)

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Data source: DrugBank-all; Query type: chemical; # of predictions: 20; Secondary interactions: no
Input drug 1: DB00749


22 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT)↑ p-value (EPD)
1 prostaglandin-endoperoxide synthase activity PTGS2;PTGS1 2 1.7E-5 0.065
2 peroxidase activity PTGS2;PTGS1 2 0.00038 0.065
3 lipid binding PTGS2;PTGS1 2 0.0033 0.076
4 dioxygenase activity PTGS1 1 0.0067 0.045
5 arachidonate 15-lipoxygenase activity PTGS2 1 0.0067 0.045
6 heme binding PTGS2;PTGS1 2 0.0078 0.11
7 retinoic acid-responsive element binding RXRA 1 0.0078 0.039
8 9-cis retinoic acid receptor activity RXRA 1 0.0078 0.039
9 vitamin D receptor binding RXRA 1 0.0078 0.058
10 enzyme binding PTGS2;RXRA 2 0.0096 0.2
11 retinoic acid receptor activity RXRA 1 0.011 0.048
12 chromatin DNA binding RXRA 1 0.02 0.048
13 RNA polymerase II regulatory region sequence-specific DNA binding RXRA 1 0.041 0.065
14 RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding RXRA 1 0.042 0.11
15 sequence-specific DNA binding RXRA 1 0.043 0.08
16 metal ion binding PTGS2;PTGS1 2 0.046 0.2
17 steroid hormone receptor activity RXRA 1 0.046 0.12
18 transcription coactivator activity RXRA 1 0.048 0.076
19 transcription factor activity, sequence-specific DNA binding RXRA 1 0.068 0.12
20 protein heterodimerization activity RXRA 1 0.086 0.11
21 DNA binding RXRA 1 0.093 0.12
22 zinc ion binding RXRA 1 0.2 0.21


  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.

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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.