Cu(ii)-based Complex Loaded With Drug Paclitaxel Hydrogels Against Thyroid Cancer And Optimizing Novel Derivatives

In this article, the authors discuss the use of the MolDQN algorithm for conducting reinforcement learning simulations in drug discovery. They also present the results of their simulation, which include a binding energy estimation, a synthetic availability score, and a drug similarity score. The article also includes a discussion of the crystal structure of CP1, a coordination polymer with potential applications in catalysis and gas storage.