From: Novel deep learning model for more accurate prediction of drug-drug interaction effects
Drug A | Drug B | DDI type (Drugbank v5.1.1)a | Score (Drugbank v5.1.1) | DDI type (new prediction)a | Score (new prediction) | Reference |
---|---|---|---|---|---|---|
Amodiaquine | Pyrimethamine | 100 | 0.999999762 | 86 | 0.999997854 | DrugBank v 5.1.2 |
Amodiaquine | Cholecalciferol | 100 | 0.99999392 | 86 | 0.996211529 | DrugBank v 5.1.2 |
Betrixaban | Rivaroxaban | 76 | 0.518932223 | 18 | 0.989234567 | DrugBank v 5.1.2 |
Disopyramide | Asenapine | 24 | 0.775597036 | 72 | 0.984019518 | |
Nefazodone | Amoxapine | 19 | 0.581683695 | 56 | 0.907319307 | |
Ulipristal | Pentobarbital | 99 | 0.999979138 | 104 | 0.902777851 | |
Fingolimod | Dronedarone | 22 | 0.547105849 | 14 | 0.881702363 | [21] |
Trazodone | Methylene blue | 56 | 0.697363019 | 96 | 0.879396319 | |
Fluorouracil | Metronidazole | 100 | 0.782166064 | 102 | 0.864007413 | |
Tacrolimus | Escitalopram | 86 | 0.511624634 | 14 | 0.851550758 | |
Tacrolimus | Citalopram | 86 | 0.511636794 | 14 | 0.851546466 | |
Methadone | Escitalopram | 86 | 0.537029743 | 14 | 0.849954724 |