Supplements of the following paper:
Bleakley,K. and Yamanishi,Y.
Supervised prediction of drug-target interactions using bipartite local models
Predicted drug-target interaction networks
- All newly predicted compound-protein interacion pairs with annotation information: average function (text file)
Note that the top scoring predicted drug-target interaction pairs with the upper one percent score percentile are shown.
The 1st column and the 2nd column indicate the protein and the compound in the predicted interaction pair, respectively.
The 3rd column indicates the candidate score in the prediction.
- All newly predicted compound-protein interacion pairs with annotation information: max function (text file)
Note that the top scoring predicted drug-target interaction pairs with the upper one percent score percentile are shown.
The 1st column and the 2nd column indicate the protein and the compound in the predicted interaction pair, respectively.
The 3rd column indicates the candidate score in the prediction.
- High resolution graph pictures of the predicted networks (pdf file)
Note that a threshold is chosen such that the number of predicted interaction edges is the same as the number of gold standard interaction edges in order to make it easier to see the overview of the network.
Software
- The matlab code is available.
Supplementary tables and analysis in addition to the original article
- The result of 10-fold cross-validation is here.
Gold standard datasets used in this study
- We obtained all data from the following website: