Artificial Intelligence for Drug Design
Artificial Intelligence for Drug Design | 38.25 MB
Title: Artificial Intelligence for Drug Design
Author: Rio Vale
Category: Nonfiction, Science & Nature, Science, Biological Sciences, Biotechnology, Health & Well Being, Medical, Medical Science, Pharmacology, Computers, Advanced Computing, Artificial Intelligence
Language: English | 903 Pages | ISBN: 9798231588176
Description:
This book focuses on the application of artificial intelligence in drug research and development, particularly its growing role in evaluating interactions between biological targets and drug molecules and optimizing drug design pathways. It offers a comprehensive structure divided into four parts: fundamentals of AI algorithms, data foundations and representations, AI driven drug design, and program code. The book systematically introduces key AI methodologies, highlights essential biomedical data resources, and presents data mining approaches based on artificial intelligence. Following the workflow of drug R&D, each chapter explains the basic principles and challenges of specific drug design steps and then reviews the corresponding advances in AI algorithms, supplemented by cross-disciplinary application examples. Readers will gain a clear understanding of how AI integrates into and accelerates the drug development process while reducing associated risks and costs, making the book particularly valuable for researchers and technical professionals engaged in life sciences and pharmaceutical R&D.
DOWNLOAD:
https://rapidgator.net/file/cac1e0377697424d0db26ba9fdcec594/Artificial_Intelligence_for_Drug_Design.pdf
https://nitroflare.com/view/5F90B7FEBF89E93/Artificial_Intelligence_for_Drug_Design.pdf
This book focuses on the application of artificial intelligence in drug research and development, particularly its growing role in evaluating interactions between biological targets and drug molecules and optimizing drug design pathways. It offers a comprehensive structure divided into four parts: fundamentals of AI algorithms, data foundations and representations, AI driven drug design, and program code. The book systematically introduces key AI methodologies, highlights essential biomedical data resources, and presents data mining approaches based on artificial intelligence. Following the workflow of drug R&D, each chapter explains the basic principles and challenges of specific drug design steps and then reviews the corresponding advances in AI algorithms, supplemented by cross-disciplinary application examples. Readers will gain a clear understanding of how AI integrates into and accelerates the drug development process while reducing associated risks and costs, making the book particularly valuable for researchers and technical professionals engaged in life sciences and pharmaceutical R&D.
DOWNLOAD:
https://rapidgator.net/file/cac1e0377697424d0db26ba9fdcec594/Artificial_Intelligence_for_Drug_Design.pdf
https://nitroflare.com/view/5F90B7FEBF89E93/Artificial_Intelligence_for_Drug_Design.pdf
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