The POLYpharmacology Generative Optimization Network (POLYGON) is a deep machine learning model that uses generative AI and reinforcement learning to generate new polypharmacology compounds. It is trained and benchmarked using a diverse dataset of over one million small molecules. The model optimizes multiple chemical properties and can generate compounds targeting specific cancer proteins. The generated compounds are validated through 3D molecular docking analysis and cell-free assays.
