The results from the benchmark for structure prediction in Table 1 must be interpreted with care. First, the tested methods can be run with different parameters, possibly producing better results. However, as a typical user has no prior knowledge about the structure, the default parameters for each method are used. Of course, a comprehensive benchmark should include a larger number of structures to obtain a more reliable evaluation. However, in this study, the focus has been on a test set where the structures are supported experimentally. Many structures have been published, which were determined using computational tools and this will inevitably create a bias in a benchmark, and thus they were excluded here.