Target name

P09874: Poly [ADP-ribose] polymerase 1


  Protein function

Involved in the base excision repair (BER) pathway, by catalyzing the poly(ADP-ribosyl)ation of a limited number of acceptor proteins involved in chromatin architecture and in DNA metabolism. This modification follows DNA damages and appears as an obligatory step in a detection/signaling pathway leading to the reparation of DNA strand breaks. Mediates the poly(ADP-ribosyl)ation of APLF and CHFR. Positively regulates the transcription of MTUS1 and negatively regulates the transcription of MTUS2/TIP150. With EEF1A1 and TXK, forms a complex that acts as a T-helper 1 (Th1) cell-specific transcription factor and binds the promoter of IFN-gamma to directly regulate its transcription, and is thus involved importantly in Th1 cytokine production. Required for PARP9 and DTX3L recruitment to DNA damage sites. PARP1-dependent PARP9-DTX3L-mediated ubiquitination promotes the rapid and specific recruitment of 53BP1/TP53BP1, UIMC1/RAP80, and BRCA1 to DNA damage sites.

  Database links

Uniprot primary ID P09874
PDB ID 4L6S 2JVN 2L31 3GN7 4DQY 2RIQ 2COK 4OPX 2RD6 3L3L 3L3M 3OD8 2CR9 2RCW 2DMJ 4HHY 4HHZ 2L30 1WOK 3ODE 3ODC 3ODA 4PJT 3GJW 4GV7 2CS2 1UK1 4AV1 1UK0 4OQA 4OQB 4UND
DrugBank ID
BioGrid ID 106652
GuidetoPHARMACOLOGY ID 2771
PharmGKB ID PA32
KEGG ID hsa:142
BioCyc
Entrez Gene (Gene ID) 142
DIP DIP-38N
STRING 9606ENSP00000355759
MINT MINT-104344
IntAct P09874
DMDM 130781
BREDNA 24230
Rectome R-HSA-110362 R-HSA-2173795 R-HSA-3108214
SignaLink P09874
BindingDB P09874

  Model Performance Metrics

Fingerprint type F1_CV AUC_CV Accuracy_CV Sensitivity_CV Specificity_CV F1_test AUC_test Accuracy_test Sensitivity_test Specificity_test Download model
FP2 fingerprints 0.876 0.919 0.873 0.889 0.858 0.889 0.926 0.884 0.904 0.862 Download
MACCS fingerprints 0.851 0.917 0.843 0.896 0.789 0.867 0.930 0.859 0.897 0.820 Download
Daylight fingerprints 0.841 0.867 0.841 0.838 0.845 0.861 0.882 0.858 0.852 0.865 Download
ECFP2 fingerprints 0.932 0.974 0.930 0.958 0.901 0.946 0.981 0.942 0.983 0.899 Download
ECFP4 fingerprints 0.942 0.981 0.942 0.937 0.947 0.954 0.984 0.951 0.970 0.931 Download
ECFP6 fingerprints 0.934 0.978 0.936 0.909 0.963 0.952 0.982 0.950 0.951 0.950 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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