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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: DB00294


20 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT)↑ p-value (EPD)
1 steroid binding ESR1;PGR 2 0.00039 0.12
2 ATPase binding ESR1;PGR 2 0.00039 0.12
3 RNA polymerase II core promoter proximal region sequence-specific DNA binding ESR1;PGR 2 0.00045 0.11
4 transcriptional activator activity, RNA polymerase II core promoter proximal region sequence-specific binding ESR1;PGR 2 0.00045 0.11
5 steroid hormone receptor activity ESR1;PGR 2 0.00057 0.12
6 RNA polymerase II transcription factor activity, estrogen-activated sequence-specific DNA binding ESR1 1 0.0024 0.27
7 enzyme binding ESR1;PGR 2 0.0037 0.19
8 estrogen response element binding ESR1 1 0.0037 0.19
9 estrogen receptor activity ESR1 1 0.0063 0.18
10 nitric-oxide synthase regulator activity ESR1 1 0.0071 0.15
11 beta-catenin binding ESR1 1 0.0083 0.15
12 zinc ion binding ESR1;PGR 2 0.0083 0.21
13 core promoter sequence-specific DNA binding ESR1 1 0.013 0.13
14 RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding PGR 1 0.025 0.11
15 chromatin binding ESR1 1 0.048 0.12
16 transcription factor activity, sequence-specific DNA binding ESR1 1 0.048 0.13
17 transcription factor binding ESR1 1 0.049 0.12
18 DNA binding PGR 1 0.067 0.13
19 receptor binding PGR 1 0.072 0.13
20 identical protein binding ESR1 1 0.12 0.18


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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.