Deep learning technology for drug discovery
Practical AI
00:00
Transforming Drug Discovery with Technology
This chapter explores the synergy between physics, chemistry, and biology in drug discovery, emphasizing the role of computational methods, particularly convolutional neural networks, in enhancing drug design. It discusses the innovative application of deep learning to predict drug interactions by transforming protein structures into color-coded 3D grids. Additionally, the chapter addresses data quality challenges and the necessity for improved evaluation methodologies in machine learning systems within the realm of computational chemistry.
Transcript
Play full episode
