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007			cr nn 008mamaa
008			150701s2015 gw | s |||| 0|eng d
020			_a9783662473719
024	7		_a10.1007/978-3-662-47371-9 _2doi
050		4	_aQP88.5 _bM677 2015
100	1		_aMoss, Gary P. _994065 _0Local
245	1	0	_aPredictive Methods in Percutaneous Absorption _cby Gary P. Moss, Darren R. Gullick, Simon C. Wilkinson.
260			_aBerlin, Heidelberg _bSpringer _c2015
300			_a1 recurso en línea (XV, 199 páginas) _b16 ilustraciones, 8 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _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 errorâ€{uA814}he 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 â€{u0E6F}u can fit anything with a non-linear modelâ€{u0B6D} Finite-dose models of transient exposures and volatile formulation components -- “The Devil Is in the Detail â€3 -- Conclusions and Recommendations for Model Development and Use.
520	3		_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.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER, asignarmaterias_11febrero
650		7	_aFisiología humana _0 _2embne _9140024
650		7	_aDermatología _0 _2embne _9139590
650		7	_aFarmacología _0 _2embne _9137893
700	1		_aGullick, Darren R. _994066 _0Local
700	1		_aWilkinson, Simon C. _994067 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-47371-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12901647 _b10-10-17 _c18-01-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aQP88.5 M677 2015 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11571263 _z06-04-17
999			_c81574 _d81574 _x1