Adapter protein that provides a critical link between cell surface growth factor receptors and the Ras signaling pathway.
Uniprot primary ID | P62993 |
PDB ID | 2H5K 1AZE 1GRI 3OV1 1BM2 1GHU 3KFJ 4P9V 1JYR 1JYQ 1FYR 1JYU 1GFC 2W0Z 1TZE 1GFD 3WA4 1FHS 1QG1 4P9Z 2H46 3S8O 3S8L 3N8M 1ZFP 3IN8 2VWF 3IN7 3N7Y 2VVK 3S8N 1X0N 2AOB 1CJ1 2AOA 3C7I 1GCQ 3N84 3MXC 1IO6 3MXY 3IMD 3IMJ 1BMB 3OVE 2HUW |
DrugBank ID | DB00061 |
BioGrid ID | 109142 |
GuidetoPHARMACOLOGY ID | |
PharmGKB ID | PA28962 |
KEGG ID | hsa:2885 |
DIP ID | DIP-29229N |
STRING ID | 9606.ENSP00000339007 |
IntAct ID | P62993 |
DMDM | 51702266 |
BRENDA | |
Reactome | R-HSA-5654720 R-HSA-912631 R-HSA-5663213 R-HSA-5655332 R-HSA-1295596 R-HSA-354194 R-HSA-114604 R-HSA-5654688 R-HSA-1963640 R-HSA-2219530 R-HSA-1963642 R-HSA-5654732 R-HSA-5654710 R-HSA-186763 R-HSA-180292 R-HSA-1257604 R-HSA-5654 R-HSA-2730905 R-HSA-74751 |
SignaLink | P62993 |
BioCyc | |
Entrez Gene (Gene ID) | 2885 |
BindingDB | P62993 |
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 | 0.980 | 0.000 | 0.960 | 0.005 | 0.970 | 0.000 | 0.970 | 0.000 | 0.980 | 0.000 | 0.940 | 0.000 | Download |
Estate fingerprints | 0.980 | 0.000 | 0.980 | 0.000 | 0.980 | 0.000 | 0.980 | 0.000 | 0.990 | 0.000 | 0.959 | 0.003 | Download |
MACCS fingerprints | 0.980 | 0.000 | 0.960 | 0.005 | 0.970 | 0.000 | 0.970 | 0.000 | 0.990 | 0.000 | 0.943 | 0.005 | Download |
Daylight fingerprints | 0.969 | 0.003 | 0.977 | 0.000 | 0.973 | 0.005 | 0.973 | 0.005 | 0.980 | 0.000 | 0.949 | 0.003 | Download |
ECFP2 fingerprints | 0.980 | 0.000 | 0.972 | 0.004 | 0.976 | 0.005 | 0.976 | 0.005 | 0.990 | 0.000 | 0.952 | 0.004 | Download |
ECFP4 fingerprints | 0.980 | 0.000 | 0.980 | 0.000 | 0.980 | 0.000 | 0.980 | 0.000 | 0.990 | 0.000 | 0.956 | 0.007 | Download |
ECFP6 fingerprints | 0.980 | 0.000 | 0.980 | 0.000 | 0.980 | 0.000 | 0.980 | 0.000 | 0.990 | 0.000 | 0.960 | 0.000 | Download |
Positive dataset | Negative dataset |
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E-mail: biomed@csu.edu.cn