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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: DB01120


20 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT)↑ p-value (EPD)
1 vascular endothelial growth factor receptor binding VEGFA 1 0.0048 0.015
2 receptor agonist activity VEGFA 1 0.0048 0.013
3 sulfonylurea receptor activity ABCC8 1 0.0057 0.031
4 vascular endothelial growth factor receptor 1 binding VEGFA 1 0.0057 0.013
5 vascular endothelial growth factor receptor 2 binding VEGFA 1 0.0071 0.015
6 neuropilin binding VEGFA 1 0.0071 0.021
7 ATPase activity, coupled to transmembrane movement of substances ABCC8 1 0.014 0.017
8 chemoattractant activity VEGFA 1 0.014 0.016
9 potassium channel activity ABCC8 1 0.014 0.018
10 platelet-derived growth factor receptor binding VEGFA 1 0.014 0.016
11 fibronectin binding VEGFA 1 0.014 0.02
12 extracellular matrix binding VEGFA 1 0.014 0.017
13 growth factor activity VEGFA 1 0.025 0.047
14 cytokine activity VEGFA 1 0.028 0.035
15 ion channel binding ABCC8 1 0.031 0.058
16 heparin binding VEGFA 1 0.043 0.041
17 protein heterodimerization activity VEGFA 1 0.062 0.1
18 identical protein binding VEGFA 1 0.13 0.17
19 protein homodimerization activity VEGFA 1 0.14 0.17
20 ATP binding ABCC8 1 0.36 0.24


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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.