000			03829nam a22005175i 4500
001			vtls000561903
003			RU-ToGU
005			20210922090729.0
007			cr nn 008mamaa
008			170213s2015 gw | s |||| 0|eng d
020			_a9783662473719 _9978-3-662-47371-9
024	7		_a10.1007/978-3-662-47371-9 _2doi
035			_ato000561903
040			_aSpringer _cSpringer _dRU-ToGU
050		4	_aRM1-950
072		7	_aMMG _2bicssc
072		7	_aMED071000 _2bisacsh
082	0	4	_a615 _223
100	1		_aMoss, Gary P. _eauthor. _9470134
245	1	0	_aPredictive Methods in Percutaneous Absorption _helectronic resource _cby Gary P. Moss, Darren R. Gullick, Simon C. Wilkinson.
260			_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2015.
300			_aXV, 199 p. 16 illus., 8 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aSkin 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.
520			_aThis 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.
650		0	_amedicine. _9566220
650		0	_aHuman physiology. _9566252
650		0	_apharmacology. _9460043
650		0	_aDermatology. _9305072
650		0	_aBiomathematics. _9460190
650	1	4	_aBiomedicine. _9566246
650	2	4	_aPharmacology/Toxicology. _9302222
650	2	4	_aHuman Physiology. _9566254
650	2	4	_aDermatology. _9305072
650	2	4	_aPhysiological, Cellular and Medical Topics. _9307171
700	1		_aGullick, Darren R. _eauthor. _9470135
700	1		_aWilkinson, Simon C. _eauthor. _9470136
710	2		_aSpringerLink (Online service) _9143950
773	0		_tSpringer eBooks
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-662-47371-9
912			_aZDB-2-SBL
999			_c416881