Quantum Mechanics (QM) approaches show promise but have encountered limitations such as computational power constraints, the absence of atoms and residues on proteins, and inadequate entropic methods. Rather than imposing restrictions on quantum mechanics (QM), QM possesses significant predictive capabilities in binding free energy ). Machine learning techniques in the context of quantum mechanisms can yield distinctive attributes for drug design and development by overcoming the limitations of conventional QM ).