Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e363 | |
|---|---|---|
| Name: | Thiamine disulfide | |
| Description: | ||
| Labels: | ||
| CAS: | 67-16-3 | |
| InChi Code: | InChI=1S/C24H34N8O4S2/c1-15(31(13-35)11-19-9-27-17(3)29-23(19)25)21(5-7-33)37-38-22(6-8-34)16(2)32(14-36)12-20-10-28-18(4)30-24(20)26/h9-10,13-14,33-34H,5-8,11-12H2,1-4H3,(H2,25,27,29)(H2,26,28,30)/b21-15-,22-16- |
Properties
er_ago: Activity in ER agonist pathway
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| inactive |
Tab3.agonists: Model for ER activity on agonists pathway (Evaluation set) |
er_ant: Activity in ER antagonist pathway
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| antagonist |
Tab3.antagonists: Model for ER activity on antagonists pathway (Evaluation set) |
er_bin: Binding activity in estrogen receptor
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| inactive |
Tab3.binders: Model for binding in ER (Evaluation set) |