Target name

Q9GZT9: Egl nine homolog 1


  Protein function

Cellular oxygen sensor that catalyzes, under normoxic conditions, the post-translational formation of 4-hydroxyproline in hypoxia-inducible factor (HIF) alpha proteins. Hydroxylates a specific proline found in each of the oxygen-dependent degradation (ODD) domains (N-terminal, NODD, and C-terminal, CODD) of HIF1A. Also hydroxylates HIF2A. Has a preference for the CODD site for both HIF1A and HIF1B. Hydroxylated HIFs are then targeted for proteasomal degradation via the von Hippel-Lindau ubiquitination complex. Under hypoxic conditions, the hydroxylation reaction is attenuated allowing HIFs to escape degradation resulting in their translocation to the nucleus, heterodimerization with HIF1B, and increased expression of hypoxy-inducible genes. EGLN1 is the most important isozyme under normoxia and, through regulating the stability of HIF1, involved in various hypoxia-influenced processes such as angiogenesis in retinal and cardiac functionality. Target proteins are preferentially recognized via a LXXLAP motif.

  Database links

Uniprot primary ID Q9GZT9
PDB ID 3OUJ 4UWD 3OUI 3OUH 2Y34 4KBZ 2Y33 2G1M 3HQR 4BQW 3HQU 2HBT 2HBU 2G19 4BQY 4BQX 4JZR 5A3U
DrugBank ID DB00126
BioGrid ID 120060
GuidetoPHARMACOLOGY ID 2833
PharmGKB ID PA27670
KEGG ID hsa:54583
DIP ID DIP-37495N
STRING ID 9606.ENSP00000355601
IntAct ID Q9GZT9
DMDM 32129514
BRENDA 1.14.11.29 1.14.11.2
Reactome R-HSA-1234176
SignaLink
BioCyc
Entrez Gene (Gene ID) 54583
BindingDB Q9GZT9

  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 0.860 0.009 0.944 0.003 0.902 0.004 0.899 0.007 0.970 0.000 0.810 0.009 Download
Estate fingerprints 0.932 0.011 0.850 0.008 0.891 0.007 0.895 0.008 0.950 0.000 0.784 0.017 Download
MACCS fingerprints 0.885 0.007 0.851 0.007 0.868 0.004 0.872 0.004 0.938 0.004 0.737 0.008 Download
Daylight fingerprints 0.638 0.012 0.926 0.009 0.782 0.010 0.746 0.008 0.836 0.005 0.588 0.016 Download
ECFP2 fingerprints 0.935 0.005 0.977 0.005 0.956 0.005 0.956 0.005 0.990 0.000 0.910 0.005 Download
ECFP4 fingerprints 0.956 0.005 0.984 0.000 0.970 0.000 0.970 0.000 1.000 0.000 0.943 0.005 Download
ECFP6 fingerprints 0.938 0.004 0.998 0.000 0.968 0.004 0.968 0.004 1.000 0.000 0.933 0.007 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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