Drug Development Supported by Informatics by Hiroko Satoh Hardcover Book

Description: Drug Development Supported by Informatics by Hiroko Satoh, Kimito Funatsu, Hiroshi Yamamoto 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. FORMAT Hardcover CONDITION Brand New Publisher Description 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. Author Biography Dr. Hiroko Satoh, Associate Professor at Research Organization of Information and Systems (ROIS) and Research Scientist at Department of Chemistry, University of Zurich, is a chemist specializing in the fields of chemoinformatics and computational chemistry. In the early stage of her carreer, she developed SOPHIA, which is one of the first data-driven systems for chemical reaction prediction. She received many awards such as the Young Scientists Prize from the MEXT (Ministry of Education, Culture, Sports, Science and Technology, Japan) and the Science and Technology Information Award from Japan Science and Technology Agency (JST).Dr. Kimito Funatsu, Professor Emeritus, The University of Tokyo, is an applied chemist specializing in chemoinformatics and data-driven chemistry. Currently he is the director of Data Science Center in Nara Institute of Science and Technology. He has received many awards such as the Herman Skolnik Award from the American Chemical Society in 2019 and Academic Award from the Chemical Society of Japan. He is Japans leading chemoinformatics and data-driven chemistry researcher.Dr. Hiroshi Yamamoto was a company researcher in AGC Inc., and after retirement from it in 2020, is the CEO of pirika.comLLC as well as a part-time lecturer in Yokohama National University. He is specialized in polymer synthesis, computer science, information science, chemical engineering and computer programing. In the company, he promoted research projects on development and application of physical property estimation methods for CFC substitute compounds using chemoinformatics. Also he is a senior developer of a computer software, Hansen Solubility Parameters in Practice (HSPiP), and is Japans leading expert on Hansen solubility parameters used in drug discovery and other applications. Table of Contents The AI Trends in Chemical Space for Drug Discovery.- Screening Methods for Drugs Using Chemoinformatics Methods for Beginners.- Data-driven Molecular Structure Generation for Inverse QSPR/QSAR Problem.- Materials Informatics with Limited Data.- Primer on Graph Machine Learning.- Subgraph-based Molecular Graph Generation.- Language Models in Molecular Discovery.- Transformers and Large Language Models for Chemistry and Drug Discovery.- Drug Discovery and Drug Repositioning Using Computational Methods.- Two and Three-dimensional Molecular Representations in Ligand-based Approaches.- Electronic-Structure Informatics for Drug Development.- Data-Driven Chemistry for Developing Organic Synthesis Routes for Functional Chemicals.- "Quantum-Chemoinformatics" for Design and Discovery of New Molecules and Reactions.- Toxicity Prediction System for Chemical Substances Based on Toxicity Expression Mechanisms - AI-SHIPS.- Data Assimilation to Integrate High-speed Atomic Force Microscopy with Biomolecular Simulations: Characterization of Drug Target Functions.- Potential of High-Spatiotemporal Resolution Live Cell Imaging for Drug Discovery and Development.- Design of Biomaterials Using Informatics.- Monitoring and Controlling in Continuous Manufacturing Process.- Formulation using Hansen Solubility Parameters. Details ISBN9819748275 Author Hiroshi Yamamoto Publisher Springer Verlag, Singapore Year 2024 ISBN-13 9789819748273 Format Hardcover Imprint Springer Nature Country of Publication Singapore Alternative 9789819748303 Edited by Hiroshi Yamamoto Audience Professional & Vocational Edition Description 2024 ed. Edition 2024th DEWEY 615.19 Pages 357 Publication Date 2024-10-19 Illustrations 171 Illustrations, color; 10 Illustrations, black and white; XII, 357 p. 181 illus., 171 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:168277660;

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