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Titlebook: Drug Development Supported by Informatics; Hiroko Satoh,Kimito Funatsu,Hiroshi Yamamoto Book 2024 The Editor(s) (if applicable) and The Au

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樓主
發(fā)表于 2025-3-21 18:19:48 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Drug Development Supported by Informatics
編輯Hiroko Satoh,Kimito Funatsu,Hiroshi Yamamoto
視頻videohttp://file.papertrans.cn/285/284831/284831.mp4
概述Covers all aspects of drug development supported by informatics.Shares state-of-the-art knowledge and future directions on the topic.Presents four types of information science and technology in a volu
圖書封面Titlebook: Drug Development Supported by Informatics;  Hiroko Satoh,Kimito Funatsu,Hiroshi Yamamoto Book 2024 The Editor(s) (if applicable) and The Au
描述.This book describes the state-of-the-art of chemoinformatics, bioinformatics, materials informatics and measurement/metrology informatics to develop drugs with desired activity or physicochemical properties and to optimize the functionality, efficacy, safety and quality of the compounds for drugs. Recently, "AI drug discovery", drug discovery research utilizing artificial intelligence technology such as machine learning, has attracted much attention. This book provides an overview of the four applied informatics fields and their applications in drug development for a wide spectrum of readers from learners to professional scientists in academia and industry. It focuses on the basic research stage of drug development with contributions from experts at the forefront of these fields. The authors hope that this book will be of assistance to explore new opportunities for collaboration between pharmaceutical science and informatics...?.
出版日期Book 2024
關(guān)鍵詞Chemoinformatics; Bioinformatics; Materials informatics; Clinical informatics; Artificial Intelligence
版次1
doihttps://doi.org/10.1007/978-981-97-4828-0
isbn_softcover978-981-97-4830-3
isbn_ebook978-981-97-4828-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:58:18 | 只看該作者
Book 2024drugs with desired activity or physicochemical properties and to optimize the functionality, efficacy, safety and quality of the compounds for drugs. Recently, "AI drug discovery", drug discovery research utilizing artificial intelligence technology such as machine learning, has attracted much atten
板凳
發(fā)表于 2025-3-22 00:55:29 | 只看該作者
Book 2024from learners to professional scientists in academia and industry. It focuses on the basic research stage of drug development with contributions from experts at the forefront of these fields. The authors hope that this book will be of assistance to explore new opportunities for collaboration between pharmaceutical science and informatics...?.
地板
發(fā)表于 2025-3-22 05:20:03 | 只看該作者
Toshiyuki Moriuchi,Toshikazu Hirao self-supervised learning, similar to those used in recent large language models and image AI. This chapter provides an overview of cutting-edge AI research in medicinal chemistry, elucidating the current status and efforts to overcome the challenges in this field.
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發(fā)表于 2025-3-22 09:36:54 | 只看該作者
. This chapter reviews the recent trends in computational methods for drug discovery and drug repositioning using various big data and machine learning (a fundamental technology of artificial intelligence).
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Vestibular disorders in (frontal) roll planeristics of raw materials, intermediate products, and intermediates in each process for appropriate control is called Process Analytical Technology (PAT), which is rapidly being globally used. This chapter provides an overview of this approach.
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