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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: DB06204


22 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT) p-value (EPD)
1 neuropeptide binding OPRD1;OPRM1;OPRK1 3 1.0E-5 0.033
2 opioid receptor activity OPRD1;OPRK1 2 0.00013 0.024
3 monoamine transmembrane transporter activity SLC6A4;SLC6A2 2 0.00028 0.032
4 morphine receptor activity OPRM1 1 0.0047 0.043
5 cocaine binding SLC6A4 1 0.0047 0.029
6 enkephalin receptor activity OPRD1 1 0.0052 0.065
7 dynorphin receptor activity OPRK1 1 0.0059 0.061
8 norepinephrine SLC6A2 1 0.0067 0.037
9 serotonin SLC6A4 1 0.0078 0.033
10 serotonin transmembrane transporter activity SLC6A4 1 0.0085 0.026
11 beta-endorphin receptor activity OPRM1 1 0.0094 0.049
12 G-protein alpha-subunit binding OPRM1 1 0.011 0.032
13 G-protein beta-subunit binding OPRM1 1 0.011 0.027
14 serotonin-activated cation-selective channel activity HTR3A 1 0.017 0.088
15 Rab GTPase binding SLC6A4 1 0.019 0.024
16 serotonin binding HTR3A 1 0.026 0.044
17 actin filament binding SLC6A4 1 0.036 0.033
18 serotonin receptor activity HTR3A 1 0.044 0.044
19 voltage-gated potassium channel activity HTR3A 1 0.051 0.034
20 voltage-gated calcium channel activity OPRM1 1 0.051 0.032
21 G-protein coupled receptor activity OPRM1 1 0.097 0.053
22 receptor activity HTR3A 1 0.11 0.053



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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.