Docking with gnina requires knowledge of the 3D structure of the ligands to be docked. Conformations are generated for ligands using Experimental-Torsion with basic Knowledge Distance Geometry (ETKDG) to yield likely conformations of the ligand based on trends seen in crystal conformations. Using RDKit, we generate 50 conformations, and use the Universal Force Field (UFF) to minimize and report the energy of each generated conformation. Combining the ten lowest energy conformations into a single file for each ligand. A set of low-energy conformations gives a higher likelihood that one of the conformations is close to the ground-truth ligand conformation. Additionally, gnina docking keeps rigid bond angles and lengths, so using multiple conformations of a ligand during docking allows for exploration of different bond angles and lengths.