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Añadir al carritoCondición: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Añadir al carritoPaperback. Condición: Brand New. 101 pages. 9.25x6.10x0.22 inches. In Stock.
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Publicado por Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031520564 ISBN 13: 9783031520563
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It also showcases successful case studies on the application of q-RASAR modeling in medicinal chemistry, predictive toxicology, and materials sciences. The book also includes the tools used for q-RASAR model development for new users. It is a valuable resource for researchers and students interested in grasping the development algorithm of q-RASAR models and their application within specific research domains.
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Añadir al carritoTaschenbuch. Condición: Neu. q-RASAR | A Path to Predictive Cheminformatics | Kunal Roy (u. a.) | Taschenbuch | SpringerBriefs in Molecular Science | x | Englisch | 2024 | Springer | EAN 9783031520563 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It also showcases successful case studies on the application of q-RASAR modeling in medicinal chemistry, predictive toxicology, and materials sciences. The book also includes the tools used for q-RASAR model development for new users. It is a valuable resource for researchers and students interested in grasping the development algorithm of q-RASAR models and their application within specific research domains.
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Publicado por Springer Nature Switzerland, Springer Nature Switzerland Jan 2024, 2024
ISBN 10: 3031520564 ISBN 13: 9783031520563
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It also showcases successful case studies on the application of q-RASAR modeling in medicinal chemistry, predictive toxicology, and materials sciences. The book also includes the tools used for q-RASAR model development for new users. It is a valuable resource for researchers and students interested in grasping the development algorithm of q-RASAR models and their application within specific research domains. 104 pp. Englisch.
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Publicado por Springer Nature Switzerland, 2024
ISBN 10: 3031520564 ISBN 13: 9783031520563
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the reader to a novel cheminformatic workflowPresents the genesis and model developmentIncludes practical examples and software toolsDr. Kunal Roy is a Professor & Ex-Head in the Department of Pharmaceutical Tec.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Jan 2024, 2024
ISBN 10: 3031520564 ISBN 13: 9783031520563
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It also showcases successful case studies on the application of q-RASAR modeling in medicinal chemistry, predictive toxicology, and materials sciences. The book also includes the tools used for q-RASAR model development for new users. It is a valuable resource for researchers and students interested in grasping the development algorithm of q-RASAR models and their application within specific research domains.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 104 pp. Englisch.