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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: DB07150


21 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT) p-value (EPD)
1 transcription coactivator activity NCOA1;ESR2 2 0.0036 0.074
2 RNA polymerase II transcription coactivator activity NCOA1 1 0.0085 0.092
3 estrogen receptor activity ESR2 1 0.0085 0.053
4 receptor antagonist activity ESR2 1 0.009 0.045
5 RNA polymerase II regulatory region DNA binding NCOA1 1 0.009 0.051
6 ligand-dependent nuclear receptor binding NCOA1 1 0.0093 0.04
7 enzyme binding NCOA1;ESR2 2 0.01 0.19
8 estrogen response element binding ESR2 1 0.01 0.053
9 ligand-dependent nuclear receptor transcription coactivator activity NCOA1 1 0.011 0.058
10 histone acetyltransferase activity NCOA1 1 0.011 0.055
11 nuclear hormone receptor binding NCOA1 1 0.012 0.04
12 androgen receptor binding NCOA1 1 0.014 0.071
13 core promoter sequence-specific DNA binding ESR2 1 0.014 0.074
14 steroid binding ESR2 1 0.018 0.075
15 protein N-terminus binding NCOA1 1 0.018 0.054
16 RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding ESR2 1 0.023 0.096
17 steroid hormone receptor activity ESR2 1 0.03 0.11
18 chromatin binding NCOA1 1 0.045 0.11
19 transcription factor activity, sequence-specific DNA binding ESR2 1 0.045 0.11
20 DNA binding ESR2 1 0.063 0.12
21 zinc ion binding ESR2 1 0.14 0.21



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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.