FIGURE 1.

Schematic representation of the ChatGPT-assisted drug addiction research process. (This process initiates with grasping the roles of AI in drug addiction research and generating drug-like molecules. It advances by refining the GNC model to produce leads targeting DAT, NET, and SERT receptors. Optimization is driven by the Langevin equation and an enhanced GNC model, prioritizing binding affinity predictions, which led to 15 potential drug leads pinpointed. ChatGPT supports this process by offering creative input, methodological insights, and coding aid, from debugging to interpretation).