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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: DB07638


21 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT)↑ p-value (EPD)
1 estrogen response element binding ESR1;ESR2 2 5.3E-6 0.15
2 estrogen receptor activity ESR1;ESR2 2 1.6E-5 0.15
3 core promoter sequence-specific DNA binding ESR1;ESR2 2 0.00012 0.11
4 steroid binding ESR1;ESR2 2 0.0002 0.1
5 steroid hormone receptor activity ESR1;ESR2 2 0.0006 0.11
6 transcription factor activity, sequence-specific DNA binding ESR1;ESR2 2 0.0014 0.12
7 RNA polymerase II transcription factor activity, estrogen-activated sequence-specific DNA binding ESR1 1 0.0021 0.19
8 enzyme binding ESR1;ESR2 2 0.0039 0.19
9 receptor antagonist activity ESR2 1 0.005 0.21
10 nitric-oxide synthase regulator activity ESR1 1 0.0075 0.13
11 beta-catenin binding ESR1 1 0.0087 0.13
12 zinc ion binding ESR1;ESR2 2 0.0087 0.21
13 ATPase binding ESR1 1 0.015 0.1
14 RNA polymerase II core promoter proximal region sequence-specific DNA binding ESR1 1 0.025 0.1
15 transcriptional activator activity, RNA polymerase II core promoter proximal region sequence-specific binding ESR1 1 0.025 0.1
16 RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding ESR2 1 0.026 0.1
17 transcription coactivator activity ESR2 1 0.032 0.12
18 transcription factor binding ESR1 1 0.044 0.11
19 chromatin binding ESR1 1 0.045 0.11
20 DNA binding ESR2 1 0.063 0.12
21 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.