Qifeng Bai (7 results)

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. Introduces the basic theories, current methods, and principles of deep learning for drug designPresents the major application fields of drug design based on deep learning including protein folding, retrosynthesis prediction, molecular gener.

Condition: New.

Taschenbuch. Condition: Neu. Neuware - Deep Learning in Drug Design: Methods and Applications summarizes the most recent methods, and technological advances of deep learning for drug design, which mainly consists of molecular representations, the architectures of deep learning, geometric deep learning, large models, etc., as well as deep learning applications in various aspects of drug design. This book offers a comprehensive academic overview of deep learning in drug design. It begins with molecular representations, CNNs, GNNs, Transformers, generative models, explainable AI, large models, etc. Next, it covers deep learning applications like protein structure prediction, molecular interactions, ADMET prediction, antibody design, and so on. Finally, a separate chapter is dedicated to the introduction of the ethics and regulation of artificial intelligence in drug design. This book is ideal for readers aiming to learn and implement deep learning methods and applications in drug design and related fields.Deep Learning in Drug Design: Methods and Applications is particularly helpful to undergraduate, graduate, and doctoral students in need of a practical guide to the principles of the discipline. Established researchers in the area will benefit from the detailed case studies and algorithms presented.…

Paperback. Condition: new. Paperback. COMPUTER AIDED DRUG DESIGN: Methods and applications This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.