LEADER 04004nam 22006735 450 001 9910832978603321 005 20190523123322.0 010 $a9781400850501 010 $a1400850509 024 7 $a10.1515/9781400850501 035 $a(CKB)2550000001352414 035 $a(EBL)1724880 035 $a(OCoLC)890441141 035 $a(SSID)ssj0001335392 035 $a(PQKBManifestationID)12569659 035 $a(PQKBTitleCode)TC0001335392 035 $a(PQKBWorkID)11288798 035 $a(PQKB)11483496 035 $a(MiAaPQ)EBC1724880 035 $a(StDuBDS)EDZ0001756476 035 $a(DE-B1597)453998 035 $a(OCoLC)984682158 035 $a(DE-B1597)9781400850501 035 $a(Perlego)736046 035 $a(ScCtBLL)efa550f9-aaea-4e06-b4ca-613b47f7d240 035 $a(OCoLC)1000351223 035 $a(EXLCZ)992550000001352414 100 $a20190523d2014 fg 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBiomolecular Feedback Systems /$fRichard M. Murray, Domitilla Del Vecchio 205 $aCourse Book 210 1$aPrinceton, NJ : $cPrinceton University Press, $d[2014] 210 4$dİ2015 215 $a1 online resource (287 p.) 300 $aDescription based upon print version of record. 311 08$a9780691161532 311 08$a0691161534 311 08$a9781322111742 311 08$a132211174X 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tContents -- $tPreface -- $tChapter 1. Introductory Concepts -- $tChapter 2. Dynamic Modeling of Core Processes -- $tChapter 3. Analysis of Dynamic Behavior -- $tChapter 4. Stochastic Modeling and Analysis -- $tChapter 5. Biological Circuit Components -- $tChapter 6. Interconnecting Components -- $tChapter 7. Design Tradeoffs -- $tBibliography -- $tIndex 330 $aThis book provides an accessible introduction to the principles and tools for modeling, analyzing, and synthesizing biomolecular systems. It begins with modeling tools such as reaction-rate equations, reduced-order models, stochastic models, and specific models of important core processes. It then describes in detail the control and dynamical systems tools used to analyze these models. These include tools for analyzing stability of equilibria, limit cycles, robustness, and parameter uncertainty. Modeling and analysis techniques are then applied to design examples from both natural systems and synthetic biomolecular circuits. In addition, this comprehensive book addresses the problem of modular composition of synthetic circuits, the tools for analyzing the extent of modularity, and the design techniques for ensuring modular behavior. It also looks at design trade-offs, focusing on perturbations due to noise and competition for shared cellular resources.Featuring numerous exercises and illustrations throughout, Biomolecular Feedback Systems is the ideal textbook for advanced undergraduates and graduate students. For researchers, it can also serve as a self-contained reference on the feedback control techniques that can be applied to biomolecular systems.Provides a user-friendly introduction to essential concepts, tools, and applicationsCovers the most commonly used modeling methodsAddresses the modular design problem for biomolecular systemsUses design examples from both natural systems and synthetic circuitsSolutions manual (available only to professors at press.princeton.edu)An online illustration package is available to professors at press.princeton.edu 606 $aBiological control systems 606 $aSystems biology 615 0$aBiological control systems. 615 0$aSystems biology. 676 $a612.8233 700 $aDel Vecchio$b Domitilla, $01725679 702 $aMurray$b Richard M., 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910832978603321 996 $aBiomolecular Feedback Systems$94129880 997 $aUNINA