Drug Discovery Generative AI: End-to-End De Novo Proteins and Tensor Networks

Explore the cutting-edge world of drug discovery through a comprehensive seminar on generative AI for end-to-end de novo protein design. Delve into the development of a pre-trained protein language model that facilitates the generation of novel proteins with targeted mechanical properties. Examine the authors' 2024 Generative AI protein language diffusion model (pLDM) notebook, focusing on its configurability and scalability. Analyze the key findings from the Science Advances paper, highlighting how pLDM outperforms traditional methods in achieving better design accuracy. Gain additional insights into potential tensor network layer substitutions for pLDM's Imagen and U-Net convolutions or embeddings, exploring benefits in compression, speed-up, and explainability. Learn from real-world examples and scientific references to deepen your understanding of this revolutionary approach to protein design and drug discovery.

Drug Discovery Generative AI End to End De Novo Proteins; Tensor Networks