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008			120925s2013 xxu| o |||| 0|eng d
020			_a9781627030502
024	7		_a10.1007/978-1-62703-050-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRA1193.4 _b2013 EB
245	0	0	_aComputational Toxicology : _bVolume I _cedited by Brad Reisfeld, Arthur N. Mayeno
250			_a1st edition 2013
264		1	_aTotowa, NJ _bHumana Press _c2013
300			_a1 recurso en línea (XI, 613 páginas) _b157 ilustraciones, 75 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v929
505	0		_aWhat is Computational Toxicology? -- Computational Toxicology - Application in Environmental Chemicals -- Role of Computational Methods in Pharmaceutical Sciences -- Best Practices in Mathematical Modeling -- Tools and Techniques -- Prediction of Physicochemical Properties -- Informing Mechanistic Toxicology with Computational Molecular Models -- Chemical Structure Representations and Applications in Computational Toxicity -- Accessing and Using Chemical Property Databases -- Accessing, Using and Creating Chemical Property Databases for Computational Toxicology Modeling -- Molecular Dynamics -- Introduction to Pharmacokinetics in Clinical Toxicology.-Modeling of Absorption -- Prediction of Pharmacokinetic Parameters -- Ligand - And Structure-Based Pregnane X Receptor Models -- Non-Compartmental Analysis -- Compartmental Modeling in the Analysis of Biological Systems -- Physicologically Based Pharmacokinetic/Toxicokinetic Modeling -- Interspecies Extrapolation -- Population Effects and Variability -- Mechanism-Based Pharmacodynamic Modeling.
520			_aRapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology. These computational tools hold tremendous promise for advancing science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. Computational Toxicology provides biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. Divided into four sections, Volume I covers a wide array of methodologies and topics. Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with 'best practices' in mathematical and computational modeling, followed by chemoinformatics and the use of computational techniques and databases to predict chemical properties and toxicity, as well as an overview of molecular dynamics.  The final section is a compilation of the key elements and main approaches used in pharmacokinetic and pharmacodynamic modeling, including the modeling of absorption, compartment and non-compartmental modeling, physiologically based pharmacokinetic modeling, interspecies extrapolation, and population effects. Written in the successful Methods in Molecular Biology™ series format where possible, chapters include introductions to their respective topics, lists of the materials and software tools used, methods, and notes on troubleshooting. Authoritative and easily accessible, Computational Toxicology will allow motivated readers to participate in this exciting field and undertake a diversity of realistic problems of interest.
988			_aSpringer_Protocols_2013
650		7	_2embne _9140328 _aToxicología _xProceso de datos
776	0	8	_iPrinted edition: _z9781627030496
776	0	8	_iPrinted edition: _z9781627030519
776	0	8	_iPrinted edition: _z9781493958979
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-62703-050-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2023 _dz _eu _zSI