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AI Breakthroughs in Drug Design by joaomariasaude is a document available to read on EtoBox.

The document discusses the use of artificial intelligence, particularly neural networks and deep learning, for drug design applications like predicting molecular properties and activities, as well as de novo design of new molecules. It provides examples of using these techniques for kinase activity prediction, toxicity prediction, and target prediction. The techniques have been applied to large datasets and show improved performance over other machine learning methods.

Author
joaomariasaude
Language
EN