Drug Development Supported by Informatics - Satoh, Hiroko; Funatsu, Kimito; Yamamoto, Hiroshi; (szerk.) - Prospero Internetes Könyváruház

Drug Development Supported by Informatics
 
A termék adatai:

ISBN13:9789819748273
ISBN10:9819748275
Kötéstípus:Keménykötés
Terjedelem:357 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: 10 Illustrations, black & white; 171 Illustrations, color
696
Témakör:

Drug Development Supported by Informatics

 
Kiadás sorszáma: 2024
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
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Kiadói listaár:
EUR 181.89
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77 539 Ft (73 847 Ft + 5% áfa)
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71 336 (67 939 Ft + 5% áfa )
Kedvezmény(ek): 8% (kb. 6 203 Ft)
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  példányt

 
Rövid leírás:

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.

Hosszú leírás:

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.



 

Tartalomjegyzék:

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.