In this work, I propose a new docking approach that can be considered a new branch of the AutoDock Vina-based methods by combining Vina and Vinardo docking scores with quantum chemistry-based quantities. This approach decouples the tasks of finding conformer geometries, determining conformation order, and predicting strain energies from the docking process. This is achieved by using precomputed accurate quantum mechanical (QM) conformations with their respective orders and strain energies, based on high-level DFT-D4 calculations. The implementation of this method is straightforward and can be incorporated into any well-designed docking program. I have implemented this new docking scheme using the current version of the AutoDock Vina program, without modifying the docking package itself. I call these two new schemes QFVina and QFVinardo, indicating that QuantumFuture's QM conformational database is used in combination with Vina and Vinardo partial docking scores. The scheme is simple: instead of traditional flexible ligand docking, where the program must find all feasible conformations and their internal energies, we perform rigid ligand docking using precomputed low-energy QM conformations. The docking program's scoring function provides the intermolecular interaction energy and desolvation energy, implicitly parameterized in the empirical scoring function in AutoDock Vina. The intramolecular energy contribution of the ligand comes from the precomputed DFT-D4 conformational strain energies. The sum of these values forms a new scoring function for estimating the binding energy between the protein and the ligand. Additionally, precomputed QM quantities, including thermodynamic properties of each conformation and the total conformational Gibbs free energy of the ligand, can further refine hit lists and provide an initial approximation of the binding free energy in protein-ligand interactions.