TopScore predicts the structural similarity between a protein model and the native structure by combining model quality predictions from 15 different primary predictors using a two-stage deep neural network. TopScore was validated on over 780 different protein targets totaling ~1.5x105 models and ~2.3x107 residues.
A webserver is available here.
The stand-alone software can be accessed here.
Mulnaes & Gohlke J. Chem. Theory Comput. (2018)