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. 2013 Nov 21;8(11):e80129. doi: 10.1371/journal.pone.0080129

Table 3. List of highly ranked unknown drug-protein pairs in ChEMBL.

Drug similarity Drugs Proteins Prob. Evidence
DDIPharm Nifedipine SLC22A1 0.678445 CTD
Verapamil ADRB1 0.672712 CTD
Phenytoin CYP3A4 0.656528 STITCH
Diphenhydramine SLC22A1 0.632571 DrugBank
Amitriptyline SLC6A2 0.576068 DrugBank
Midazolam SLC22A1 0.569028 DrugBank
Valium ERG1 0.521953 CTD
Nifedipine ADRB1 0.513618 CTD
Phenytoin ABCB1 0.503147 STITCH
Midazolam GABRA1 0.498508 STITCH
Fenoprofen PTGS1 0.494015 DrugBank
Oxaprozin PTGS1 0.494015 STITCH
Metoprolol HTR1A 0.478448 STITCH
Chem. struc. Amoxicillin SLC15A1 0.644264 STITCH
Midazolam GABRA5 0.614966 DrugBank
Midazolam GABRA3 0.614966 DrugBank
Midazolam GABRA2 0.556632 DrugBank
Midazolam GABRA1 0.503353 STITCH
Midazolam GABRA6 0.414876 KEGG
Alprazolam GABRA6 0.408056 DrugBank
Aspirin ADRB2 0.339491 CTD
Rabeprazole ATP4A 0.33869 STITCH
Rabeprazole ATP4B 0.33869 STITCH
Terbutaline ADRB1 0.315024 CTD

Among all 270,540 drug-protein pairs from the ChEMBL data set, the top 50 unknown pairs determined by the KL1LR method using Inline graphic data sets were checked, and the unknown pair was listed if it was found in the STITCH [4], DrugBank [1], KEGG [2], BindingDB [36], and CTD [35] data sets. Drugs in the second column and proteins in the third column are likely to interact, based on the probabilities shown in the fourth column. If interactions are found in more than two data sets, only one source is listed. Similarly, the results obtained using chemical structure similarities are shown.