LEADER 04058nam 22007095 450 001 9910299992903321 005 20200701171044.0 010 $a3-319-06689-7 024 7 $a10.1007/978-3-319-06689-9 035 $a(CKB)3710000000143818 035 $a(EBL)1782962 035 $a(SSID)ssj0001274955 035 $a(PQKBManifestationID)11856941 035 $a(PQKBTitleCode)TC0001274955 035 $a(PQKBWorkID)11333989 035 $a(PQKB)10642322 035 $a(DE-He213)978-3-319-06689-9 035 $a(MiAaPQ)EBC6315743 035 $a(MiAaPQ)EBC1782962 035 $a(Au-PeEL)EBL1782962 035 $a(CaPaEBR)ebr10983225 035 $a(OCoLC)882911208 035 $a(PPN)179764993 035 $a(EXLCZ)993710000000143818 100 $a20140627d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aChemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics /$fby Moisés Santillán 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (139 p.) 225 1 $aLecture Notes on Mathematical Modelling in the Life Sciences,$x2193-4789 300 $aDescription based upon print version of record. 311 $a3-319-06688-9 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book brings theories in nonlinear dynamics, stochastic processes, irreversible thermodynamics, physical chemistry, and biochemistry together in an introductory but formal and comprehensive manner.  Coupled with examples, the theories are developed stepwise, starting with the simplest concepts and building upon them into a more general framework.  Furthermore, each new mathematical derivation is immediately applied to one or more biological systems.  The last chapters focus on applying mathematical and physical techniques to study systems such as: gene regulatory networks and ion channels. The target audience of this book are mainly final year undergraduate and graduate students with a solid mathematical background (physicists, mathematicians, and engineers), as well as with basic notions of biochemistry and cellular biology.  This book can also be useful to students with a biological background who are interested in mathematical modeling, and have a working knowledge of calculus, differential equations, and a basic understanding of probability theory. 410 0$aLecture Notes on Mathematical Modelling in the Life Sciences,$x2193-4789 606 $aBiomathematics 606 $aProbabilities 606 $aChemometrics 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aMath. Applications in Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C17004 615 0$aBiomathematics. 615 0$aProbabilities. 615 0$aChemometrics. 615 14$aMathematical and Computational Biology. 615 24$aProbability Theory and Stochastic Processes. 615 24$aMath. Applications in Chemistry. 676 $a543.015195 700 $aSantillán$b Moisés$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721602 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299992903321 996 $aChemical kinetics, stochastic processes, and irreversible thermodynamics$91410323 997 $aUNINA