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portada Deep Learning in Drug Design. Methods and Applications
Formato
Libro Físico
Año
2025
N° páginas
498
Encuadernación
Tapa Blanda
Dimensiones
23.5x19.1 cm
ISBN13
9780443329081

Deep Learning in Drug Design. Methods and Applications

Junzhou, Phd Huang;Tingyang, Phd Xu;Qifeng, Phd Bai (Autor) · Academic Press Inc · Tapa Blanda

Deep Learning in Drug Design. Methods and Applications - Junzhou, PhD Huang;Tingyang, PhD Xu;Qifeng, PhD Bai

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Reseña del libro "Deep Learning in Drug Design. Methods and Applications"

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.

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