Artificial Intelligence in Drug Discovery
Artificial Intelligence in Drug Discovery by Nathan Brown, published by the Royal Society of Chemistry on November 12, 2020, is a comprehensive exploration of the intersection between artificial intelligence and drug development. This 406-page edition delves into the significant advances in deep learning and related technologies, highlighting how AI can address complex challenges in drug discovery, such as predicting properties, designing molecules, and optimizing synthetic routes.
Readers will find a detailed introduction to AI and machine learning tools, alongside discussions of specific challenges in the field, including the design of new molecular structures and synthesis planning. The book compiles insights from leading experts, making it a valuable resource for students, postgraduates, and researchers in both industry and academia, particularly those interested in the applications of AI within the life sciences and biochemistry.
Official synopsis Publisher
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
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