Datasets.

1We filtered the available drug pairs by leaving out the drug combinations where the components have exactly the same targets, or the components were structurally similar, as described in Methods. The drugs with no available targets were also discarded
2Taken from Drugs.com (November 11, 2013) as described in the methods
3Taken from the Drug Combination Database (March 8, 2012) and the Therapeutic Target Database (July 23, 2012) as described in the methods
4All approved drug combinations were included
5All approved drug combinations that are used in cancer treatment.
6We made all possible binary combinations of FDA-approved drugs (taken from DrugBank, 12th September of 2012), and then leaved out all pairs that were listed as beneficial or detrimental combinations.
7We constructed random drugs corresponding to the number of targets of all individual drugs. We generated 25 random drugs for each target count (37). From this pool we made the all possible binary combinations. In each case, we randomly selected a negative set of the size which was 5 times greater than the positive dataset [51].
Datasets.