QuartataWeb
Home  |   About  |   Theory  |   Tutorials  |   FAQ  |   Bahar Lab  |   Statistics

 

Network of interactions between drugs (red spheres) and targets (blue spheres) is displayed above.
The red lines are used for the predicted interactions and the thickness of edges indicate the confidence score of predictions.

Data source: DrugBank-all; Query type: chemical; # of requested predictions: 20; Secondary interactions: no
Input drug 1: DB02983
No. Group Type Drug ID Drug Name SMILES
⇨ TargetHunter
Image
1 Experimental SmallMoleculeDrug DB02983 Para-Mercury-Benzenesulfonic Acid Thumb


2 known interactions (targets) of input drug (DB02983): Para-Mercury-Benzenesulfonic Acid
No. Gene UniProt ID Protein Name Pathway PDB
1 CLC Q05315 Galectin-10 NA 1G86; 1HDK; 1LCL; 1QKQ
2 ESR2 Q92731 Estrogen receptor beta hsa01522; hsa04915; hsa04917; hsa05200; hsa05224


20 predicted interactions (targets) of input drug (DB02983): Para-Mercury-Benzenesulfonic Acid
No. Gene UniProt ID Protein Name Pathway PDB Confidence score
1 ESR1 P03372 Estrogen receptor hsa01522; hsa04915; hsa04917; hsa04919; hsa04961; hsa05200; hsa05205; hsa05224 40.7%
2 NCOA1 Q15788 Nuclear receptor coactivator 1 hsa04915; hsa04919; hsa05200; hsa05224 31.7%
3 SHBG P04278 Sex hormone-binding globulin NA 1D2S; 1F5F; 1KDK; 1KDM; 1LHN; 1LHO; 1LHU; 1LHV; 1LHW 29.0%
4 SIGMAR1 Q99720 Sigma non-opioid intracellular receptor 1 NA NA 18.3%
5 GGPS1 O95749 Geranylgeranyl pyrophosphate synthase hsa00900; hsa01100 2Q80 17.6%
6 TFF1 P04155 Trefoil factor 1 hsa04915 1HI7; 1PS2 17.4%
7 PYGM P11217 Glycogen phosphorylase, muscle form hsa00500; hsa01100; hsa04217; hsa04910; hsa04922; hsa04931 1Z8D 16.8%
8 GPER1 Q99527 G-protein coupled estrogen receptor 1 hsa01522; hsa04915 NA 15.8%
9 ESRRG P62508 Estrogen-related receptor gamma NA 1KV6; 1TFC; 1VJB; 2E2R; 2EWP; 2GP7; 2GPO; 2GPP; 2GPU; 2GPV; 2P7A; 2P7G; 2P7Z; 2ZAS; 2ZBS; 2ZKC 15.7%
10 CYP1B1 Q16678 Cytochrome P450 1B1 hsa00140; hsa00380; hsa00980; hsa04913; hsa05204; hsa05206 3PM0 15.3%
11 YARS P54577 Tyrosine--tRNA ligase, cytoplasmic hsa00970 1N3L; 1NTG; 1Q11; 4Q93; 4QBT 14.8%
12 CYSLTR1 Q9Y271 Cysteinyl leukotriene receptor 1 hsa04020; hsa04080 NA 14.8%
13 ADAM17 P78536 Disintegrin and metalloproteinase domain-containing protein 17 hsa04330; hsa05010; hsa05120 14.5%
14 MAP2 P11137 Microtubule-associated protein 2 NA NA 14.4%
15 PDGFRB P09619 Platelet-derived growth factor receptor beta hsa01521; hsa04010; hsa04014; hsa04015; hsa04020; hsa04072; hsa04151; hsa04510; hsa04540; hsa04630; hsa04810; hsa05165; hsa05166; hsa05200; hsa05206; hsa05214; hsa05215; hsa05218; hsa05230; hsa05231 1GQ5; 1H9O; 1LWP; 1SHA; 2L6W; 2PLD; 2PLE; 3MJG 14.3%
16 PGRMC1 O00264 Membrane-associated progesterone receptor component 1 NA NA 14.1%
17 CYSLTR2 Q9NS75 Cysteinyl leukotriene receptor 2 hsa04020; hsa04080 NA 13.6%
18 AKT1 P31749 RAC-alpha serine/threonine-protein kinase hsa01521; hsa01522; hsa01524; hsa04010; hsa04012; hsa04014; hsa04015; hsa04022; hsa04024; hsa04062; hsa04066; hsa04068; hsa04071; hsa04072; hsa04140; hsa04150; hsa04151; hsa04152; hsa04210; hsa04211; hsa04213; hsa04218; hsa04261; hsa04370; hsa04371; hsa04380; hsa04510; hsa04550; hsa04611; hsa04620; hsa04625; hsa04630; hsa04660; hsa04662; hsa04664; hsa04666; hsa04668; hsa04722; hsa04725; hsa04728; hsa04910; hsa04914; hsa04915; hsa04917; hsa04919; hsa04920; hsa04922; hsa04923; hsa04926; hsa04931; hsa04932; hsa04933; hsa04973; hsa05142; hsa05145; hsa05152; hsa05160; hsa05161; hsa05162; hsa05163; hsa05164; hsa05165; hsa05166; hsa05167; hsa05169; hsa05170; hsa05200; hsa05205; hsa05210; hsa05211; hsa05212; hsa05213; hsa05214; hsa05215; hsa05218; hsa05220; hsa05221; hsa05222; hsa05223; hsa05224; hsa05225; hsa05226; hsa05230; hsa05231; hsa05418 13.1%
19 RET P07949 Proto-oncogene tyrosine-protein kinase receptor Ret hsa05200; hsa05216; hsa05230 1XPD; 2IVS; 2IVT; 2IVU; 2IVV; 2X2K; 2X2L; 2X2M; 2X2U; 4CKI; 4CKJ; 4UX8 13.1%
20 HINT1 P49773 Histidine triad nucleotide-binding protein 1 NA 1AV5; 1KPA; 1KPB; 1KPC; 1KPE; 1KPF; 3TW2; 4EQE; 4EQG; 4EQH 13.0%



  logl

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.

Contact:

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.