Factor Xa is a vitamin K-dependent glycoprotein that converts prothrombin to thrombin in the presence of factor Va, calcium and phospholipid during blood clotting.
Uniprot primary ID | P00742 |
PDB ID | 1IOE 3CEN 2J34 1C5M 2PHB 2J38 2XC5 2XC4 2XC0 2Y7Z 2JKH 2Y7X 2BQW 2GD4 3ENS 2FZZ 2Q1J 2XBX 2XBY 1V3X 2XBV 2XBW 1IQI 2J4I 2P95 2P94 3KQC 3KQB 3KQE 3KQD 2P93 2PR3 2WYJ 2Y82 2Y81 2Y80 2WYG 1MQ5 1IQH 1IQK 1MQ6 1LQD 1KSN 2VVV 1FAX 1FXY 3FFG 2BQ7 2BQ6 3IIT 1P0S |
DrugBank ID | DB01109 DB00100 DB09075 DB06228 DB06605 DB01225 DB00025 |
BioGrid ID | 108457 |
GuidetoPHARMACOLOGY ID | 2359 |
PharmGKB ID | PA27940 |
KEGG ID | hsa:2159 |
DIP ID | DIP-29896N |
STRING ID | 9606.ENSP00000364709 |
IntAct ID | P00742 |
DMDM | 119761 |
BRENDA | 3.4.21.6 |
Reactome | R-HSA-159740 R-HSA-140834 R-HSA-159782 R-HSA-140837 R-HSA-140875 R-HSA-159763 |
SignaLink | |
BioCyc | MetaCyc:HS05000-MONOMER |
Entrez Gene (Gene ID) | 2159 |
BindingDB | P00742 |
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 | 0.800 | 0.000 | 0.860 | 0.000 | 0.830 | 0.000 | 0.830 | 0.000 | 0.920 | 0.000 | 0.670 | 0.000 | Download |
Estate fingerprints | 0.870 | 0.000 | 0.830 | 0.000 | 0.850 | 0.000 | 0.850 | 0.000 | 0.920 | 0.000 | 0.700 | 0.000 | Download |
MACCS fingerprints | 0.746 | 0.005 | 0.814 | 0.000 | 0.780 | 0.000 | 0.770 | 0.000 | 0.860 | 0.000 | 0.560 | 0.000 | Download |
Daylight fingerprints | 0.790 | 0.000 | 0.710 | 0.005 | 0.750 | 0.000 | 0.760 | 0.000 | 0.810 | 0.000 | 0.498 | 0.004 | Download |
ECFP2 fingerprints | 0.960 | 0.000 | 0.932 | 0.000 | 0.946 | 0.005 | 0.950 | 0.000 | 0.980 | 0.000 | 0.890 | 0.000 | Download |
ECFP4 fingerprints | 0.960 | 0.000 | 0.980 | 0.000 | 0.970 | 0.000 | 0.970 | 0.000 | 0.990 | 0.000 | 0.930 | 0.000 | Download |
ECFP6 fingerprints | 0.930 | 0.000 | 0.984 | 0.000 | 0.957 | 0.005 | 0.950 | 0.000 | 0.990 | 0.000 | 0.910 | 0.000 | Download |
Positive dataset | Negative dataset |
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E-mail: biomed@csu.edu.cn