De novo conformation predictors usually function by producing candidate conformations (decoys) and then choosing amongst them based on their thermodynamic stability and energy state.
In the context of molecular modeling, de novo conformation predictors typically work by generating potential three-dimensional arrangements (decoys) and choosing among them based on their thermodynamic stability and energy state.