Fig. 1: Implementation of the IDG-DREAM Drug-Kinase Binding prediction Challenge.
From: Crowdsourced mapping of unexplored target space of kinase inhibitors
The participants had access to publicly available large-scale target profiling training data, and the quantitative predictions from regression models were then validated in two unpublished and blinded test datasets profiled by the Illuminating the Druggable Genome (IDG) program (Round 1 and Round 2 datasets). Heatmap on the left is for illustrative purposes only (see Supplementary Fig. 2 for the actual test data matrices, and Supplementary Fig. 3 for the Challenge timeline). All the models, new bioactivity data, and benchmarking infrastructure are openly available to support future target prediction and benchmarking studies. BF Bayes factor; RMSE Root Mean Square Error.
