• narrowing strategy combines broad selection in the first 3 iterations with the subsequent switch to greedy approach. For the first iterations, several models are trained, each using different sets of the previously described ligand descriptors and the 5 models with the lowest cross-validation RMSE are identified. From each of those models, the 20 best predicted binders are then selected;