Target name

Q9NWZ3: Interleukin-1 receptor-associated kinase 4


  Protein function

Serine/threonine-protein kinase that plays a critical role in initiating innate immune response against foreign pathogens. Involved in Toll-like receptor (TLR) and IL-1R signaling pathways (PubMed:17878374). Is rapidly recruited by MYD88 to the receptor-signaling complex upon TLR activation to form the Myddosome together with IRAK2. Phosphorylates initially IRAK1, thus stimulating the kinase activity and intensive autophosphorylation of IRAK1. Phosphorylates E3 ubiquitin ligases Pellino proteins (PELI1, PELI2 and PELI3) to promote pellino-mediated polyubiquitination of IRAK1. Then, the ubiquitin-binding domain of IKBKG/NEMO binds to polyubiquitinated IRAK1 bringing together the IRAK1-MAP3K7/TAK1-TRAF6 complex and the NEMO-IKKA-IKKB complex. In turn, MAP3K7/TAK1 activates IKKs (CHUK/IKKA and IKBKB/IKKB) leading to NF-kappa-B nuclear translocation and activation. Alternatively, phosphorylates TIRAP to promote its ubiquitination and subsequent degradation. Phosphorylates NCF1 and regulates NADPH oxidase activation after LPS stimulation suggesting a similar mechanism during microbial infections.

  Database links

Uniprot primary ID Q9NWZ3
PDB ID 2OIB 2OIC 4U9A 2O8Y 2OID 4YP8 4XS2 3MOP 4YO6 2NRY 4U97 4ZTN 4ZTL 4ZTM 2NRU 4Y73
DrugBank ID
BioGrid ID 119322
GuidetoPHARMACOLOGY ID 2045
PharmGKB ID PA134914577
KEGG ID hsa:51135
DIP ID DIP-31351N
STRING ID 9606.ENSP00000390651
IntAct ID Q9NWZ3
DMDM 50401181
BRENDA
Reactome R-HSA-5602680 R-HSA-5602498 R-HSA-975110 R-HSA-975871 R-HSA-975155 R-HSA-166058 R-HSA-975138 R-HSA-5603041 R-HSA-5603037 R-HSA-446652
SignaLink Q9NWZ3
BioCyc
Entrez Gene (Gene ID) 51135
BindingDB Q9NWZ3

  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 0.832 0.004 0.904 0.006 0.868 0.004 0.862 0.004 0.938 0.004 0.736 0.008 Download
Estate fingerprints 0.816 0.013 0.802 0.009 0.809 0.010 0.811 0.011 0.883 0.005 0.616 0.020 Download
MACCS fingerprints 0.861 0.006 0.807 0.008 0.834 0.005 0.838 0.004 0.900 0.000 0.670 0.009 Download
Daylight fingerprints 0.755 0.014 0.971 0.000 0.863 0.007 0.844 0.008 0.933 0.005 0.743 0.011 Download
ECFP2 fingerprints 0.888 0.008 0.858 0.006 0.873 0.005 0.873 0.005 0.950 0.000 0.748 0.010 Download
ECFP4 fingerprints 0.861 0.003 0.945 0.004 0.903 0.005 0.899 0.003 0.960 0.000 0.807 0.009 Download
ECFP6 fingerprints 0.833 0.007 0.977 0.007 0.905 0.005 0.901 0.003 0.956 0.005 0.819 0.009 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.

The recommended browsers: Safari, Firefox, Chrome, IE(Ver.>8).
 E-mail: biomed@csu.edu.cn