大葉大學圖書館 |

Predictive methods in percutaneous absorption[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	612.79015118
書名/作者:	Predictive methods in percutaneous absorption/ by Gary P. Moss, Darren R. Gullick, Simon C. Wilkinson.
作者:	Moss, Gary P.
其他作者:	Gullick, Darren R.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
面頁冊數:	xv, 199 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Skin absorption - Mathematical models.
標題:	Skin absorption - Computer simulation.
標題:	Biomedicine.
標題:	Pharmacology/Toxicology.
標題:	Human Physiology.
標題:	Dermatology.
標題:	Physiological, Cellular and Medical Topics.
ISBN:	9783662473719 (electronic bk.)
ISBN:	9783662473702 (paper)
內容註:	Skin Structure and Physiology -- Methods for the Measurement of Percutaneous Absorption -- Mathematical Treatments and Early Models of Skin Permeability -- "Building error upon error": The New Breadth of Research in the Field -- Algorithms for Estimating Permeability Across Artificial Membranes -- Other Approaches to Modelling Percutaneous Absorption -- "Squiggly lines and random dots - you can fit anything with a non-linear model" -- Finite-dose models of transient exposures and volatile formulation components -- "The Devil Is in the Detail …" -- Conclusions and Recommendations for Model Development and Use.
摘要、提要註:	This book sheds new light on the development and use of quantitative models to describe the process of skin permeation. It critically reviews the development of quantitative predictive models of skin absorption and discusses key recommendations for model development. Topics presented include an introduction to skin physiology; the underlying theories of skin absorption; the physical laboratory-based processes used to generate skin absorption data, which is in turn used to construct mathematical models describing the skin permeation process; algorithms of skin permeability including quantitative structure-activity (or permeability) relationships (QSARs or QSPRs); relationships between permeability and molecular properties; the development of formulation-focused approaches to models of skin permeability prediction; the use of artificial membranes, e.g. polydimethylsiloxane as alternatives to mammalian skin; and lastly, the use of novel Machine Learning methods in developing the next generation of predictive skin permeability models. The book will be of interest to all researchers in academia and industry working in pharmaceutical discovery and development, as well as readers from the field of occupational exposure and risk assessment, especially those whose work involves agrochemicals, bulk chemicals and cosmetics.
電子資源:	http://dx.doi.org/10.1007/978-3-662-47371-9

Predictive methods in percutaneous absorption[electronic resource] /
Moss, Gary P.

Predictive methods in percutaneous absorption[electronic resource] /by Gary P. Moss, Darren R. Gullick, Simon C. Wilkinson. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xv, 199 p. :ill. (some col.), digital ;24 cm.

Skin Structure and Physiology -- Methods for the Measurement of Percutaneous Absorption -- Mathematical Treatments and Early Models of Skin Permeability -- "Building error upon error": The New Breadth of Research in the Field -- Algorithms for Estimating Permeability Across Artificial Membranes -- Other Approaches to Modelling Percutaneous Absorption -- "Squiggly lines and random dots - you can fit anything with a non-linear model" -- Finite-dose models of transient exposures and volatile formulation components -- "The Devil Is in the Detail …" -- Conclusions and Recommendations for Model Development and Use.

This book sheds new light on the development and use of quantitative models to describe the process of skin permeation. It critically reviews the development of quantitative predictive models of skin absorption and discusses key recommendations for model development. Topics presented include an introduction to skin physiology; the underlying theories of skin absorption; the physical laboratory-based processes used to generate skin absorption data, which is in turn used to construct mathematical models describing the skin permeation process; algorithms of skin permeability including quantitative structure-activity (or permeability) relationships (QSARs or QSPRs); relationships between permeability and molecular properties; the development of formulation-focused approaches to models of skin permeability prediction; the use of artificial membranes, e.g. polydimethylsiloxane as alternatives to mammalian skin; and lastly, the use of novel Machine Learning methods in developing the next generation of predictive skin permeability models. The book will be of interest to all researchers in academia and industry working in pharmaceutical discovery and development, as well as readers from the field of occupational exposure and risk assessment, especially those whose work involves agrochemicals, bulk chemicals and cosmetics.

ISBN: 9783662473719 (electronic bk.)

Standard No.: 10.1007/978-3-662-47371-9doiSubjects--Topical Terms:

633080
Skin absorption
--Mathematical models.

LC Class. No.: QP88.5

Dewey Class. No.: 612.79015118

Predictive methods in percutaneous absorption[electronic resource] /
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520 $a This book sheds new light on the development and use of quantitative models to describe the process of skin permeation. It critically reviews the development of quantitative predictive models of skin absorption and discusses key recommendations for model development. Topics presented include an introduction to skin physiology; the underlying theories of skin absorption; the physical laboratory-based processes used to generate skin absorption data, which is in turn used to construct mathematical models describing the skin permeation process; algorithms of skin permeability including quantitative structure-activity (or permeability) relationships (QSARs or QSPRs); relationships between permeability and molecular properties; the development of formulation-focused approaches to models of skin permeability prediction; the use of artificial membranes, e.g. polydimethylsiloxane as alternatives to mammalian skin; and lastly, the use of novel Machine Learning methods in developing the next generation of predictive skin permeability models. The book will be of interest to all researchers in academia and industry working in pharmaceutical discovery and development, as well as readers from the field of occupational exposure and risk assessment, especially those whose work involves agrochemicals, bulk chemicals and cosmetics.
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