Before revision:  It shows particularly good performance when generating a single model, making it a computationally tractable way of generating models from availablesequence data .
After revision:  We apply it to all Pfam domains without a known structure and provide high confidence models for 25\% of these so-called "dark" families, a calculation that took less than a week on a small cluster with 200 available cores. DMPfold provides models for 16\% of human proteome UniProt entries without structures, can generate accurate models with alignments of fewer than 100 sequences in some cases, and is freely available .