000			02916nam a22003858i 4500
001			CR9781139045582
003			UkCbUP
005			20200124160223.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			141103s2012||||enk o ||1 0|eng|d
020			_a9781139045582 (ebook)
020			_z9780521768238 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQH505 _b.B35 2012
082	0	0	_a571.401/13 _223
100	1		_aBeard, Daniel A., _d1971- _eauthor.
245	1	0	_aBiosimulation : _bsimulation of living systems / _cDaniel A. Beard.
264		1	_aCambridge : _bCambridge University Press, _c2012.
300			_a1 online resource (xii, 307 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aCambridge texts in biomedical engineering
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_a1. Introduction to simulation of biological systems -- 2. Transport and reaction of solutes in biological systems -- 3. Physiologically based pharmacokinetic modeling -- 4. Cardiovascular systems simulation -- 5. Chemical reaction systems: thermodynamics and chemical equilibrium -- 6. Chemical reaction systems: kinetics -- 7. Chemical reaction systems: large-scale systems simulation -- 8. Cellular electrophysiology -- 9. Appendices: mathematical and computational techniques.
520			_aThis practical guide to biosimulation provides the hands-on experience needed to devise, design and analyze simulations of biophysical processes for applications in biological and biomedical sciences. Through real-world case studies and worked examples, students will develop and apply basic operations through to advanced concepts, covering a wide range of biophysical topics including chemical kinetics and thermodynamics, transport phenomena, and cellular electrophysiology. Each chapter is built around case studies in a given application area, with simulations of real biological systems developed to analyze and interpret data. Open-ended project-based exercises are provided at the end of each chapter, and with all data and computer codes available online (www.cambridge.org/biosim) students can quickly and easily run, manipulate, explore and expand on the examples inside. This hands-on guide is ideal for use on senior undergraduate/graduate courses and also as a self-study guide for anyone who needs to develop computational models of biological systems.
650		0	_aBiophysics _xComputer simulation.
650		0	_aBiophysics _xSimulation methods.
650		0	_aBiomedical engineering _xComputer simulation.
650		0	_aMedical sciences _vCase studies.
776	0	8	_iPrint version: _z9780521768238
830		0	_aCambridge texts in biomedical engineering.
856	4	0	_uhttps://doi.org/10.1017/CBO9781139045582
999			_c516932 _d516930