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E-mail: biomed@csu.edu.cn
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Key enzyme in folate metabolism. Contributes to the de novo mitochondrial thymidylate biosynthesis pathway. Catalyzes an essential reaction for de novo glycine and purine synthesis, and for DNA precursor synthesis. Binds its own mRNA and that of DHFRL1.
| Uniprot primary ID | P00374 |
| PDB ID | 4M6J 3NXV 1DRF 1S3U 4G95 1S3W 3OAF 1HFQ 1HFP 4KAK 2W3M 1KMS 1U72 1OHJ 1OHK 3NXO 1U71 4KBN 1PDB 3NXX 4KFJ 3NXT 3L3R 3NZD 2C2S 4DDR 4M6L 2C2T 3GYF 3NXY 3N0H 1S3V 3NU0 4KEB 1YHO 1DLS 1DLR 3GI2 3EIG 2W3A 2W3B 3FS6 3F91 1PD9 1PD8 4QHV 3GHW 1KMV 3GHC 1HFR 3NXR |
| DrugBank ID | DB01157 DB00563 DB00205 DB00440 DB01131 DB06813 DB00798 |
| BioGrid ID | 108065 |
| GuidetoPHARMACOLOGY ID | 2603 |
| PharmGKB ID | PA143 |
| KEGG ID | hsa:1719 |
| DIP ID | |
| STRING ID | 9606.ENSP00000396308 |
| IntAct ID | P00374 |
| DMDM | 118992 |
| BRENDA | 1.5.1.3 |
| Reactome | R-HSA-1474151 R-HSA-113510 R-HSA-69205 R-HSA-196757 |
| SignaLink | |
| BioCyc | |
| Entrez Gene (Gene ID) | 1719 |
| BindingDB | P00374 |
| 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 | 0.909 | 0.003 | 0.953 | 0.003 | 0.931 | 0.003 | 0.930 | 0.000 | 0.972 | 0.004 | 0.867 | 0.005 | Download |
| Estate fingerprints | 0.906 | 0.005 | 0.910 | 0.004 | 0.908 | 0.004 | 0.907 | 0.005 | 0.960 | 0.000 | 0.813 | 0.007 | Download |
| MACCS fingerprints | 0.939 | 0.003 | 0.941 | 0.000 | 0.940 | 0.000 | 0.940 | 0.000 | 0.980 | 0.000 | 0.887 | 0.005 | Download |
| Daylight fingerprints | 0.796 | 0.005 | 0.964 | 0.000 | 0.880 | 0.000 | 0.870 | 0.000 | 0.960 | 0.000 | 0.780 | 0.000 | Download |
| ECFP2 fingerprints | 0.959 | 0.003 | 0.975 | 0.000 | 0.967 | 0.005 | 0.966 | 0.005 | 0.990 | 0.000 | 0.930 | 0.000 | Download |
| ECFP4 fingerprints | 0.954 | 0.005 | 0.986 | 0.000 | 0.970 | 0.000 | 0.970 | 0.000 | 0.990 | 0.000 | 0.942 | 0.004 | Download |
| ECFP6 fingerprints | 0.938 | 0.004 | 0.990 | 0.000 | 0.964 | 0.005 | 0.962 | 0.004 | 0.990 | 0.000 | 0.930 | 0.000 | Download |
| Positive dataset | Negative dataset |
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E-mail: biomed@csu.edu.cn
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