However, building better alternative initial model is not trivial for originally accurate models. For example, alternative initial models for CASP targets whose original initial models have GDT-HA scores above 60 had lower GDT-HA scores by -7.4 on average, and only 13% of them were better than the original initial models. Especially in the context of CASP, alternative models are likely inferior to the initial model, because initial models for refinement may have been chosen from the best models that were generated otherwise without refinement. However, in the context of practical structure prediction where the native structure is unknown and initial structures are generated with a preferred method of choice, simply generating alternative initial models with different methods may result in better initial models at least in some cases.