When the same analysis is performed by DeepConf with different parameter settings (parsets), we produced somewhat comparable results to Auto3D in fewer conformer (ensemble) sizes. The average number of conformers generated by parset2 was as few as 18. The success of capturing model and ideal structures within the top three/ten structures was slightly greater than Auto3D. In parset5, the success can increase up to 40.2% and 48.5% considering top 10 and all ensembles, respectively within only an average size of 32 conformers.