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E-mail: biomed@csu.edu.cn
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Renin is a highly specific endopeptidase, whose only known function is to generate angiotensin I from angiotensinogen in the plasma, initiating a cascade of reactions that produce an elevation of blood pressure and increased sodium retention by the kidney.
| Uniprot primary ID | P00797 |
| PDB ID | 3KM4 1BBS 3K1W 4Q1N 2IKO 3OAG 3Q5H 4XX4 2V0Z 3Q3T 2IKU 4S1G 2FS4 3G6Z 4RYG 4AMT 4GJ5 2V16 4GJ7 4GJ6 2V13 2V12 1RNE 2V10 4GJ9 4GJ8 2I4Q 3G72 2BKS 3G70 2BKT 3OQK 3OAD 3OQF 3OWN 3Q4B 3VCM 2IL2 2X0B 3OOT 2G1N 2G1O 3SFC 2G1R 4GJD 4GJC 4RZ1 3VSX 2REN 1HRN 3D91 |
| DrugBank ID | DB00212 |
| BioGrid ID | 111904 |
| GuidetoPHARMACOLOGY ID | 2413 |
| PharmGKB ID | PA297 |
| KEGG ID | hsa:5972 |
| DIP ID | DIP-59219N |
| STRING ID | 9606.ENSP00000272190 |
| IntAct ID | P00797 |
| DMDM | 132326 |
| BRENDA | 3.4.23.15 |
| Reactome | R-HSA-2022377 |
| SignaLink | |
| BioCyc | |
| Entrez Gene (Gene ID) | 5972 |
| BindingDB | P00797 |
| 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 | 0.850 | 0.000 | 0.910 | 0.000 | 0.880 | 0.000 | 0.879 | 0.003 | 0.950 | 0.000 | 0.760 | 0.000 | Download |
| Estate fingerprints | 0.860 | 0.000 | 0.780 | 0.000 | 0.820 | 0.000 | 0.830 | 0.000 | 0.900 | 0.000 | 0.643 | 0.005 | Download |
| MACCS fingerprints | 0.860 | 0.000 | 0.860 | 0.000 | 0.860 | 0.000 | 0.860 | 0.000 | 0.940 | 0.000 | 0.729 | 0.003 | Download |
| Daylight fingerprints | 0.794 | 0.005 | 0.926 | 0.000 | 0.860 | 0.000 | 0.850 | 0.000 | 0.930 | 0.000 | 0.730 | 0.000 | Download |
| ECFP2 fingerprints | 0.920 | 0.000 | 0.960 | 0.000 | 0.940 | 0.000 | 0.940 | 0.000 | 0.990 | 0.000 | 0.880 | 0.000 | Download |
| ECFP4 fingerprints | 0.939 | 0.003 | 0.981 | 0.000 | 0.960 | 0.000 | 0.959 | 0.003 | 0.990 | 0.000 | 0.912 | 0.004 | Download |
| ECFP6 fingerprints | 0.871 | 0.003 | 0.989 | 0.000 | 0.930 | 0.000 | 0.920 | 0.000 | 0.990 | 0.000 | 0.860 | 0.000 | Download |
| Positive dataset | Negative dataset |
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E-mail: biomed@csu.edu.cn
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