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Drug development supported by informatics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Drug development supported by informatics/ by Hiroko Satoh ; edited by Kimito Funatsu, Hiroshi Yamamoto.
Author:	Satoh, Hiroko.
other author:	Funatsu, Kimito.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xii, 357 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Drugs - Design. -
Online resource:	https://doi.org/10.1007/978-981-97-4828-0
ISBN:	9789819748280

Drug development supported by informatics
Satoh, Hiroko.

Drug development supported by informatics[electronic resource] /by Hiroko Satoh ; edited by Kimito Funatsu, Hiroshi Yamamoto. - Singapore :Springer Nature Singapore :2024. - xii, 357 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9789819748280

Standard No.: 10.1007/978-981-97-4828-0doiSubjects--Topical Terms:

664528
Drugs
--Design.

LC Class. No.: RS420

Dewey Class. No.: 615.19

Drug development supported by informatics
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245 1 0 $a Drug development supported by informatics $h [electronic resource] / $c by Hiroko Satoh ; edited by Kimito Funatsu, Hiroshi Yamamoto.
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300 $a xii, 357 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Drugs $x Design. $3 664528
650 0 $a Pharmacology $x Data processing. $3 812163
650 1 4 $a Medicinal Chemistry. $3 892420
650 2 4 $a Pharmacy. $3 636101
650 2 4 $a Cheminformatics. $3 605686
650 2 4 $a Bioinformatics. $3 553671
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Funatsu, Kimito. $3 3733838
700 1 $a Yamamoto, Hiroshi. $3 1290817
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-97-4828-0
950 $a Medicine (SpringerNature-11650)