LEADER 04624nam 22007935 450 001 9910298637703321 005 20200706004146.0 010 $a1-4939-0387-X 024 7 $a10.1007/978-1-4939-0387-0 035 $a(CKB)3710000000111658 035 $a(EBL)1730881 035 $a(OCoLC)884589954 035 $a(SSID)ssj0001237480 035 $a(PQKBManifestationID)11767546 035 $a(PQKBTitleCode)TC0001237480 035 $a(PQKBWorkID)11249247 035 $a(PQKB)10587927 035 $a(MiAaPQ)EBC1730881 035 $a(DE-He213)978-1-4939-0387-0 035 $a(PPN)178784311 035 $a(EXLCZ)993710000000111658 100 $a20140506d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStochastic Chemical Kinetics $eTheory and (Mostly) Systems Biological Applications /$fby Péter Érdi, Gábor Lente 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (174 p.) 225 1 $aSpringer Series in Synergetics,$x0172-7389 300 $aDescription based upon print version of record. 311 $a1-322-03764-7 311 $a1-4939-0386-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aStochastic kinetics: why and how? -- Chemical kinetics: a prototype of nonlinear science -- Applicability of the deterministic model -- Fluctuation phenomena -- Stochastic chemical kinetics -- Continuous time discrete state stochastic models -- Model frameworks -- Stochastic processes -- The standard stochastic model of homogeneous reaction kinetics -- Solutions of the master equation -- Stationary and transient distributions -- Simulation methods -- Deterministic continuation -- Continuous state approximations -- Non-Markovian approaches -- Applications -- Introductory remarks -- Fluctuations near instabilities -- Compartmental systems -- Autocatalysis -- Enzyme kinetics -- Signal processing -- Gene expression -- Chiral symmetry -- Parameter estimation in stochastic kinetic models -- Stochastic resonance in chemical systems -- Computation with small stochastic kinetic systems -- The Book in Retrospect and Prospect -- Index. 330 $aThis volume reviews the theory and simulation methods of stochastic kinetics by integrating historical and recent perspectives, presents applications, mostly in the context of chemical signal processing, gene expression, enzyme kinetics and autocatalytic processes. In recent years, due to the development in experimental techniques such as optical imaging, single cell analysis, and one-molecule fluorescence spectroscopy, biochemical kinetic data inside single living cells have increasingly become available. The emergence of systems biology brought renaissance in the application of stochastic kinetic methods as is reflected in this book. 410 0$aSpringer Series in Synergetics,$x0172-7389 606 $aChemometrics 606 $aSystems biology 606 $aProbabilities 606 $aStatistical physics 606 $aPhysics 606 $aMath. Applications in Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C17004 606 $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L15010 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 615 0$aChemometrics. 615 0$aSystems biology. 615 0$aProbabilities. 615 0$aStatistical physics. 615 0$aPhysics. 615 14$aMath. Applications in Chemistry. 615 24$aSystems Biology. 615 24$aProbability Theory and Stochastic Processes. 615 24$aApplications of Nonlinear Dynamics and Chaos Theory. 615 24$aApplications of Graph Theory and Complex Networks. 676 $a541.390184 700 $aÉrdi$b Péter$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059198 702 $aLente$b Gábor$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298637703321 996 $aStochastic Chemical Kinetics$92504617 997 $aUNINA