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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: DB09064


14 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT)↑ p-value (EPD)
1 ubiquitin conjugating enzyme binding PPARA 1 0.005 0.07
2 transcriptional repressor activity, RNA polymerase II core promoter proximal region sequence-specific binding PPARA 1 0.0075 0.054
3 transcriptional activator activity, RNA polymerase II transcription factor binding PPARA 1 0.0075 0.043
4 RNA polymerase II repressing transcription factor binding PPARA 1 0.0083 0.043
5 transcriptional activator activity, RNA polymerase II core promoter proximal region sequence-specific binding PPARA 1 0.017 0.11
6 sequence-specific DNA binding PPARA 1 0.017 0.1
7 lipid binding PPARA 1 0.017 0.1
8 steroid hormone receptor activity PPARA 1 0.017 0.12
9 RNA polymerase II core promoter proximal region sequence-specific DNA binding PPARA 1 0.019 0.11
10 RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding PPARA 1 0.022 0.11
11 transcription factor activity, sequence-specific DNA binding PPARA 1 0.025 0.12
12 drug binding PPARA 1 0.027 0.2
13 DNA binding PPARA 1 0.033 0.12
14 zinc ion binding PPARA 1 0.07 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.