TopModel performs template-based structure prediction using top-down consensus and deep neural networks. The input sequence is submitted to 12 primary servers for template identification. TopModel then uses a series of deep neural networks to combine primary threader scores and model quality scores from TopScore to predict the template quality in terms of TM-Score to the native structure.
A webserver is available here.
The stand-alone software can be accessed here.
Mulnaes & Gohlke J. Chem. Theory Comput. (2020)