Target name

P00533: Epidermal growth factor receptor


  Protein function

Receptor tyrosine kinase binding ligands of the EGF family and activating several signaling cascades to convert extracellular cues into appropriate cellular responses. Known ligands include EGF, TGFA/TGF-alpha, amphiregulin, epigen/EPGN, BTC/betacellulin, epiregulin/EREG and HBEGF/heparin-binding EGF. Ligand binding triggers receptor homo- and/or heterodimerization and autophosphorylation on key cytoplasmic residues. The phosphorylated receptor recruits adapter proteins like GRB2 which in turn activates complex downstream signaling cascades. Activates at least 4 major downstream signaling cascades including the RAS-RAF-MEK-ERK, PI3 kinase-AKT, PLCgamma-PKC and STATs modules. May also activate the NF-kappa-B signaling cascade. Also directly phosphorylates other proteins like RGS16, activating its GTPase activity and probably coupling the EGF receptor signaling to the G protein-coupled receptor signaling. Also phosphorylates MUC1 and increases its interaction with SRC and CTNNB1/beta-catenin.

  Database links

Uniprot primary ID P00533
PDB ID 4LL0 1IVO 5CNO 2JIU 2JIT 4R5S 2GS6 2GS7 2GS2 3W2P 4R3R 3W2R 4JQ8 1MOX 2EB3 3GOP 2EB2 3B2U 2J6M 3IKA 3UG2 2JIV 4JQ7 3BUO 3PFV 3C09 2J5F 4R3P 2J5E 3GT8 3G5Y 4I22 4I21 4I20 4I24 4WRG 3P0Y 2M20 3G5V 4I23 4G5J 3W2O 4HJO 1Z9I 4RIY 4RIX 1DNR 4G5P 3W2Q 4RIW 3B2V
DrugBank ID DB05294 DB00530 DB00317 DB01269 DB08916 DB00072 DB01259
BioGrid ID 108276
GuidetoPHARMACOLOGY ID 1797
PharmGKB ID PA7360
KEGG ID hsa:1956
DIP ID DIP-405N
STRING ID 9606.ENSP00000275493
IntAct ID P00533
DMDM 2811086
BRENDA 2.7.10.1
Reactome R-HSA-445144 R-HSA-212718 R-HSA-1251932 R-HSA-182971 R-HSA-1257604 R-HSA-5638303 R-HSA-179812 R-HSA-1250196 R-HSA-1963640 R-HSA-2219530 R-HSA-1963642 R-HSA-1227986 R-HSA-177 R-HSA-5637810 R-HSA-180292 R-HSA-2179392 R-HSA-1236394 R-HSA-1236382 R-HSA-180336
SignaLink P00533
BioCyc
Entrez Gene (Gene ID) 1956
BindingDB P00533

  Model Performance Metrics

Fingerprint type Sensitivity SEN_std Specificity SPE_std Accuracy ACC_std F1-score F1-score_std AUC AUC_std MCC MCC_std Download model
FP2 fingerprints 0.745 0.005 0.915 0.003 0.830 0.000 0.820 0.000 0.920 0.000 0.680 0.000 Download
Estate fingerprints 0.780 0.000 0.800 0.000 0.790 0.000 0.781 0.003 0.860 0.000 0.571 0.003 Download
MACCS fingerprints 0.770 0.000 0.770 0.005 0.770 0.000 0.770 0.000 0.860 0.000 0.550 0.000 Download
Daylight fingerprints 0.687 0.005 0.973 0.000 0.830 0.000 0.800 0.000 0.900 0.000 0.680 0.000 Download
ECFP2 fingerprints 0.870 0.000 0.910 0.000 0.890 0.000 0.890 0.000 0.960 0.000 0.781 0.003 Download
ECFP4 fingerprints 0.820 0.000 0.980 0.000 0.900 0.000 0.890 0.000 0.960 0.000 0.800 0.000 Download
ECFP6 fingerprints 0.764 0.005 0.980 0.000 0.872 0.004 0.860 0.000 0.960 0.000 0.769 0.003 Download

  Download datasets

Positive dataset Negative dataset


Copyright @ 2012-2014 Computational Biology & Drug Design Group,
School of Pharmaceutical Sciences, Central South University. All rights reserved.

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