We describe Distill, a suite of servers for the prediction of protein structural features: secondary structure, relative solvent accessibility, contact density, backbone structural motifs, residue contact maps at 6, 8 and 12 Angstrom, coarse protein topology. The servers are based on large-scale ensembles of recursive neural networks and trained on large, up-to-date, non-redundant subsets of the Protein Data Bank. Together with structural feature predictions, Distill includes a server for prediction of Calpha traces for short proteins (up to 200 amino acids).