000 03204nam a22004935i 4500
001 978-3-319-06689-9
003 DE-He213
005 20180115171614.0
007 cr nn 008mamaa
008 140627s2014 gw | s |||| 0|eng d
020 _a9783319066899
_9978-3-319-06689-9
024 7 _a10.1007/978-3-319-06689-9
_2doi
050 4 _aQH323.5
050 4 _aQH324.2-324.25
072 7 _aPDE
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a570.285
_223
100 1 _aSantillán, Moisés.
_eauthor.
245 1 0 _aChemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics
_h[electronic resource] /
_cby Moisés Santillán.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXIII, 126 p. 16 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes on Mathematical Modelling in the Life Sciences,
_x2193-4789
505 0 _aBrief Introduction to Chemical Kinetics -- Brief Introduction to Thermodynamics -- Different Approaches to Analyzing a Simple Chemical Reaction -- Molecule Synthesis and Degradation -- Enzymatic Reactions -- Receltor-Ligand Interaction -- Cooperativity -- Gene Expression and Regulation -- Ion Channel Dynamics and Ion Transport Across Memberanes -- References -- Index.
520 _aThis book brings theories in nonlinear dynamics, stochastic processes, irreversible thermodynamics, physical chemistry, and biochemistry together in an introductory but formal and comprehensive manner.  Coupled with examples, the theories are developed stepwise, starting with the simplest concepts and building upon them into a more general framework.  Furthermore, each new mathematical derivation is immediately applied to one or more biological systems.  The last chapters focus on applying mathematical and physical techniques to study systems such as: gene regulatory networks and ion channels. The target audience of this book are mainly final year undergraduate and graduate students with a solid mathematical background (physicists, mathematicians, and engineers), as well as with basic notions of biochemistry and cellular biology.  This book can also be useful to students with a biological background who are interested in mathematical modeling, and have a working knowledge of calculus, differential equations, and a basic understanding of probability theory.
650 0 _aMathematics.
650 0 _aChemometrics.
650 0 _aProbabilities.
650 0 _aBiomathematics.
650 1 4 _aMathematics.
650 2 4 _aMathematical and Computational Biology.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aMath. Applications in Chemistry.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319066882
830 0 _aLecture Notes on Mathematical Modelling in the Life Sciences,
_x2193-4789
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-06689-9
912 _aZDB-2-SMA
999 _c371428
_d371428