Table shows the summary of the performance of both DeepConf and Auto3D along with conventional conformer generation by RDKit using two different classical force fields to reproduce the model structures starting from ideal structures. Auto3D has produced an average of 62 conformers per ligand. In the table, the "top" refers to the lowest energy structure. We assigned as "successful" when at least one of the generated conformers considering the top 1, 3, 10 and all conformers are within the threshold of an RMSD of 0.5 Å (Table and Figure ) along with the cutoffs of 1.0, 1.5, and 2.0 Å (Table ). For Auto3D, when all the conformers are considered, the success of at least one conformer to be within 0.5 Å RMSD from the model structure when the initial structure is given as the ideal structure is 43.5% with an average ensemble size of 62. This value is 28% when only top 10 conformers are considered. We also analyzed the coverage of QM optimized "model" and "ideal" structures within the top 3 and 10 (i.e., the 3 or 10 lowest energy) structures predicted by the conformer generations. With the RMSD cutoffs from 0.5 Å to 2 Å, the success ranges from 15.3-18.5% to 78.1-84.7% in model and ideal structures. Thus, if one would produce only three lowest energy structures out from Auto3D, the success of covering both model and ideal structure within 0.5 Å of RMSD cutoff is 15.3-18.5%. In the consideration of the top 10 conformers, these numbers reach 27.3-39.4%.