LEADER 05778nam 2200817Ia 450 001 9910818467503321 005 20200520144314.0 010 $a9786612548574 010 $a9781282548572 010 $a1282548573 010 $a9780470556757 010 $a0470556757 010 $a9780470556740 010 $a0470556749 035 $a(CKB)2670000000014399 035 $a(EBL)510131 035 $a(SSID)ssj0000359264 035 $a(PQKBManifestationID)11269262 035 $a(PQKBTitleCode)TC0000359264 035 $a(PQKBWorkID)10383944 035 $a(PQKB)10552874 035 $a(Au-PeEL)EBL510131 035 $a(CaPaEBR)ebr10380955 035 $a(CaONFJC)MIL254857 035 $a(PPN)149154445 035 $a(CaSebORM)9780470180938 035 $a(MiAaPQ)EBC510131 035 $a(OCoLC)612330792 035 $a(OCoLC)837732271 035 $a(OCoLC)ocn837732271 035 $a(OCoLC)318408177 035 $a(FINmELB)ELB178825 035 $a(Perlego)2758501 035 $a(EXLCZ)992670000000014399 100 $a20090728d2010 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aElements of computational systems biology /$fedited by Huma M. Lodhi, Stephen H. Muggleton 205 $a1st edition 210 $aOxford $cWiley$dc2010 215 $a1 online resource (435 p.) 225 1 $aWiley series in bioinformatics 300 $aDescription based upon print version of record. 311 08$a9780470180938 311 08$a0470180935 320 $aIncludes bibliographical references and index. 327 $aELEMENTS OF COMPUTATIONAL SYSTEMS BIOLOGY; CONTENTS; PREFACE; CONTRIBUTORS; PART I OVERVIEW; 1 Advances in Computational Systems Biology; 1.1 Introduction; 1.2 Multiscale Computational Modeling; 1.3 Proteomics; 1.4 Computational Systems Biology and Aging; 1.5 Computational Systems Biology in Drug Design; 1.6 Software Tools for Systems Biology; 1.7 Conclusion; References; PART II BIOLOGICAL NETWORK MODELING; 2 Models in Systems Biology: The Parameter Problem and the Meanings of Robustness; 2.1 Introduction; 2.2 Models as Dynamical Systems; 2.2.1 Continuous Models; 2.2.2 Discrete Models 327 $a2.3 The Parameter Problem2.3.1 Parameterphobia; 2.3.2 Measuring and Calculating; 2.3.3 Counter Fitting; 2.3.4 Beyond Fitting; 2.4 The Landscapes of Dynamics; 2.4.1 Qualitative Dynamics; 2.4.2 Steady State Attractors of ODE Models; 2.5 The Meanings of Robustness; 2.5.1 Parameter Biology; 2.5.2 Robustness to Initial Conditions; 2.5.3 Robustness in Reality; 2.5.4 Structural Stability; 2.5.5 Classifying Robustness; 2.6 Conclusion; References; 3 In Silico Analysis of Combined Therapeutics Strategy for Heart Failure; 3.1 Introduction; 3.2 Materials and Methods 327 $a3.2.1 Model Construction and Validation3.2.2 Classification of Different Heart Failure Cases; 3.2.3 Simulation Protocol; 3.3 Results; 3.3.1 ?-Adrenergic Receptor Antagonists; 3.3.2 ?-Adrenergic Receptor Kinase Inhibitor; 3.3.3 Phosphodiesterase Inhibitor; 3.3.4 Combined Therapies; 3.4 Discussion; Acknowledgment; 3A.1 Appendix; 3A.1.1 Model Validation; 3A.1.2 The Mathematical Model Used for Simulations; References; 4 Rule-Based Modeling and Model Refinement; 4.1 Kappa, Briefly; 4.2 Refinement, Practically; 4.2.1 A Simple Cascade; 4.2.2 Another Cascade; 4.2.3 The SSA Convention 327 $a4.2.4 A Less Obvious Refinement4.3 Rule-Based Modeling; 4.3.1 Notation; 4.3.2 Objects and Arrows; 4.3.3 Extensions; 4.3.4 Actions and Rules; 4.3.5 Events and Probabilities; 4.4 Refinement, Theoretically; 4.4.1 Growth Policies; 4.4.2 Simple Growth Policies; 4.4.3 Neutral Refinements; 4.4.4 Example Concluded; 4.4.5 Growth Policies, Concretely; 4.4.6 A Weakly Homogeneous Refinement; 4.4.7 Nonhomogeneous Growth Policies; 4.5 Conclusion; References; 5 A (Natural) Computing Perspective on Cellular Processes; 5.1 Natural Computing and Computational Biology; 5.2 Membrane Computing 327 $a5.3 Formal Languages Preliminaries5.4 Membrane Operations with Peripheral Proteins; 5.5 Membrane Systems with Peripheral Proteins; 5.5.1 Dynamics of the System; 5.5.2 Reachability in Membrane Systems; 5.6 Cell Cycle and Breast Tumor Growth Control; 5.6.1 Cell Cycle Progression Inhibition in G1/S; 5.6.2 Cell-Cycle Progression Inhibition in G2/M; References; 6 Simulating Filament Dynamics in Cellular Systems; 6.1 Introduction; 6.2 Background: The Roles of Filaments within Cells; 6.2.1 The Actin Network; 6.2.2 Intermediate Filaments; 6.2.3 Microtubules; 6.3 Examples of Filament Simulations 327 $a6.3.1 Actin-Based Motility in Listeria 330 $a Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutica 410 0$aWiley series on bioinformatics. 606 $aSystems biology 606 $aComputational biology 615 0$aSystems biology. 615 0$aComputational biology. 676 $a570.285 701 $aLodhi$b Huma M$01640712 701 $aMuggleton$b Stephen$01640713 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910818467503321 996 $aElements of computational systems biology$93984377 997 $aUNINA LEADER 01721oam 2200481zu 450 001 9911006854503321 005 20210807003511.0 010 $a0-08-052394-3 035 $a(CKB)111056552533168 035 $a(SSID)ssj0000072432 035 $a(PQKBManifestationID)11971855 035 $a(PQKBTitleCode)TC0000072432 035 $a(PQKBWorkID)10094492 035 $a(PQKB)11117492 035 $a(EXLCZ)99111056552533168 100 $a20160829d1996 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aLoss prevention in the process industries : hazard identification, assessment, and control 210 31$a[Place of publication not identified]$cButterworth Heinemann$d1996 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-7506-1547-8 531 $aLOSS PREVENTION IN THE PROCESS INDUSTRIES 531 $aLEES' LOSS PREVENTION IN THE PROCESS INDUSTRIES, VOLUME 3 531 $aLEES' LOSS PREVENTION IN THE PROCESS INDUSTRIES, VOLUME 2 531 $aLEES' LOSS PREVENTION IN THE PROCESS INDUSTRIES, VOLUME 1 606 $aPetroleum chemicals industry$xSafety measures$zGreat Britain 606 $aChemical & Materials Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 606 $aChemical Engineering$2HILCC 615 0$aPetroleum chemicals industry$xSafety measures 615 7$aChemical & Materials Engineering 615 7$aEngineering & Applied Sciences 615 7$aChemical Engineering 676 $a660/.2804 700 $aLees$b Frank P$014058 801 0$bPQKB 906 $aBOOK 912 $a9911006854503321 996 $aLoss Prevention in the Process Industries$9126987 997 $aUNINA