Enhancing Drug Design across Multiple Therapeutic Targets with CVAE Generative Models.

Drug discovery is a costly and time-consuming process, necessitating innovative strategies to enhance efficiency across different stages, from initial hit identification to final market approval. Recent advancement in deep learning (DL), particularly in drug design, show promise. Generative models, a subclass of DL algorithms, have significantly accelerated the drug design process by exploring vast areas of chemical space.