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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: DB01296


16 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT) p-value (EPD)
1 cytokine activity TNF;IFNG 2 0.0091 0.078
2 interferon-gamma receptor binding IFNG 1 0.011 0.02
3 tumor necrosis factor receptor binding TNF 1 0.015 0.061
4 metalloendopeptidase activity MMP9 1 0.065 0.066
5 transcription coactivator activity NFKB2 1 0.065 0.074
6 protease binding TNF 1 0.067 0.068
7 transcriptional activator activity, RNA polymerase II core promoter proximal region sequence-specific binding NFKB2 1 0.067 0.083
8 transcription regulatory region DNA binding TNF 1 0.067 0.074
9 endopeptidase activity MMP9 1 0.069 0.066
10 identical protein binding TNF;MMP9 2 0.072 0.18
11 metallopeptidase activity MMP9 1 0.072 0.061
12 collagen binding MMP9 1 0.075 0.066
13 RNA polymerase II core promoter proximal region sequence-specific DNA binding NFKB2 1 0.076 0.083
14 transcription factor activity, sequence-specific DNA binding NFKB2 1 0.086 0.11
15 chromatin binding NFKB2 1 0.086 0.11
16 zinc ion binding MMP9 1 0.25 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.