Target name

P08514: Integrin alpha-IIb


  Protein function

Integrin alpha-IIb/beta-3 is a receptor for fibronectin, fibrinogen, plasminogen, prothrombin, thrombospondin and vitronectin. It recognizes the sequence R-G-D in a wide array of ligands. It recognizes the sequence H-H-L-G-G-G-A-K-Q-A-G-D-V in fibrinogen gamma chain. Following activation integrin alpha-IIb/beta-3 brings about platelet/platelet interaction through binding of soluble fibrinogen. This step leads to rapid platelet aggregation which physically plugs ruptured endothelial cell surface.

  Database links

Uniprot primary ID P08514
PDB ID 2K9J 1JX5 3ZE0 3ZE1 3ZE2 1KUP 4CAK 2MTP 3NID 3NIF 3NIG 3T3P 3T3M 3ZDZ 3ZDY 3ZDX 2VDK 2VDL 2VDM 2VDN 2VDO 1KUZ 3FCU 2KNC 3FCS 1S4W 1RN0 2VDP 2VDQ 2VDR 1TYE 1DPQ 1M8O 1DPK 1UV9 2K1A 2VC2
DrugBank ID DB00054 DB00775
BioGrid ID 109881
GuidetoPHARMACOLOGY ID
PharmGKB ID PA29938
KEGG ID hsa:3674
DIP ID DIP-68N
STRING ID 9606.ENSP00000262407
IntAct ID P08514
DMDM 226694183
BRENDA
Reactome R-HSA-216083 R-HSA-445144 R-HSA-114608 R-HSA-354194 R-HSA-354192 R-HSA-3000178 R-HSA-372708 R-HSA-5674135
SignaLink P08514
BioCyc
Entrez Gene (Gene ID) 3674
BindingDB P08514

  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 0.849 0.003 0.889 0.000 0.869 0.003 0.863 0.005 0.950 0.000 0.735 0.005 Download
Estate fingerprints 0.930 0.000 0.850 0.005 0.890 0.000 0.893 0.005 0.950 0.000 0.780 0.000 Download
MACCS fingerprints 0.940 0.000 0.888 0.000 0.914 0.005 0.920 0.000 0.970 0.000 0.830 0.000 Download
Daylight fingerprints 0.830 0.000 0.752 0.000 0.791 0.003 0.800 0.000 0.850 0.000 0.589 0.003 Download
ECFP2 fingerprints 0.990 0.000 0.940 0.005 0.965 0.005 0.969 0.003 0.990 0.000 0.930 0.000 Download
ECFP4 fingerprints 0.990 0.000 0.970 0.005 0.980 0.000 0.980 0.000 1.000 0.000 0.958 0.004 Download
ECFP6 fingerprints 0.980 0.000 0.980 0.000 0.980 0.000 0.980 0.000 1.000 0.000 0.962 0.004 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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